GPT-Rosalind-6 System Card AddendumGPT-Rosalind-6 System Card Addendum is OpenAI's safety documentation for a life-sciences model that shares weights with GPT-6 Astra. It rates the model High in Biological and Chemical and Critical in Cybersecurity under the Preparedness Framework. It reports biology evaluations, trusted-access controls, biosecurity refusal pass rates, a historical cyber jailbreak regression (14.3% task success), and sabotage and monitor-evasion results.
deploymentsafety.openai.compaperPublished and added 30 Oct 2026
TextSeal2: Distortion-Free LLM Watermarking with Copula Mixing and Memoryless RacesTextSeal2 is a distortion-free LLM text watermark that merges two or more keys into one virtual key and couples it to fresh noise through AutoMark's Gaussian copula. Under speculative decoding it verifies keyed drafts with an extra exponential race, so output matches the target model and acceptance rate is unchanged. On three LLMs at a 10^-3 false-positive rate, it detects 8 to 22 points more 100-token answers than TextSeal.
arxiv.orgpaperAdded 31 Oct 2026, published 29 Oct 2026
Understanding and Mitigating Role Spoofing in LLMsUnderstanding and Mitigating Role Spoofing in LLMs is an arXiv paper (October 2026) on role spoofing, a prompt injection where malicious tool output impersonates the user. It shows models track "who said what" using both content cues (semantics, style) and structure cues (control tokens, formatting). Attacks combining fake structure and content succeed often, adversarial training stops only content-based attacks, and linear probes trained to predict conversation roles detect spoofing across settings.
arxiv.orgpaperAdded 31 Oct 2026, published 29 Oct 2026- Quasi-polynomial time algorithms for block basis reduction of linear codes
Kolesnikov and Novoselov give block basis reduction (BKZ) algorithms for linear codes that need polynomial or quasi-polynomial numbers of calls to a minimum weight codeword oracle at fixed block size. The earlier Ghentiyala and Stephens-Davidowitz bounds are exponential. The paper adds a truncated BKZ and a DeepBKZ variant, with an implementation for block sizes 2 to 24 and approximation-factor estimates on random codes.
eprint.iacr.orgpaperAdded 31 Oct 2026, published 29 Oct 2026 - Stop Calling Them Provers: The Case for Calling ProVerif and Tamarin Symbolic Protocol Analyzers
Nadim Kobeissi's ePrint paper 2026/2683 argues that ProVerif and Tamarin should be called symbolic protocol analyzers, not provers. It audits their published soundness arguments, finding false statements, missing proofs and gaps between paper and implementation, and reproduces reported Tamarin bugs that accept false claims. It also covers model gaps in parsers and state machines, weak secrecy queries and unjustified primitive equations. The page is an abstract only.
eprint.iacr.orgpaperAdded 31 Oct 2026, published 29 Oct 2026 - A Quantitative Evaluation of Constant-Time Analysis Tools
AutoBench-CT is a modular benchmark for constant-time analysis tools, with manually verified per-violation ground truth across 64 cryptographic tasks. It scores seven tools on operational performance, detection quality and usability. The authors explain why CT-grind (2010) is still the most used tool, list recurring limitations across tools, and propose a composite pipeline for stronger constant-time guarantees. Accepted at ACSAC 2026.
eprint.iacr.orgpaperAdded 31 Oct 2026, published 29 Oct 2026 - Cryptanalysis and Enhancement of VTBSAE: Provably Secure Verifier-Based PAKE Protocols for the Industrial Internet of Things
Cryptanalysis of VTBSAE, a verifier-based PAKE protocol for the Industrial Internet of Things, showing it fails to resist client impersonation after server compromise. The authors propose E-VTBSAEv1, which binds the client point E1 to fresh server randomness, and prove AKE security and forward secrecy in the random-oracle model under CDH. Raspberry Pi 4B tests show runtime comparable to VTBSAE with the same communication and storage overhead.
eprint.iacr.orgpaperAdded 31 Oct 2026, published 29 Oct 2026
SEAL: Sealed Queries for Local Sanitization against Indirect Prompt InjectionSEAL is a defense against indirect prompt injection for local LLM agents. It learns a soft prompt and scoring readout offline, then uses a frozen task model to score and delete injected tokens from tool outputs, with queries built from trusted initial context. On AgentDojo, attack success falls from 34.6% to 0.1% and Joint rises from 51.4% to 77.5%, using about 127x fewer defense tokens than PISanitizer.
arxiv.orgpaperAdded 31 Oct 2026, published 29 Oct 2026- Smoothness of Shortest Isogenies to Frobenius Conjugatess
Paper by Yi Ouyang, Wei Wei and Zheng Xu on the minimum degree of an isogeny from a supersingular elliptic curve E to its Frobenius conjugate E^(p). It bounds the probability that this degree is smooth, which makes Wesolowski's p^(1/3+o(1)) attack on the supersingular endomorphism ring problem unconditional. It also gives a uniform asymptotic formula, with Dirichlet L-values in the main term, for the probability that a connection isogeny of degree n exists.
eprint.iacr.orgpaperAdded 31 Oct 2026, published 29 Oct 2026 - Optimality and Efficiency of Higher-Order Rank-Based Side-Channel Attacks against Inner Product Masking Schemes
HO-ASPA (Higher-Order Adjusted Spearman Coefficient Analysis) is a rank-based, non-profiling side-channel distinguisher. The paper derives its optimal form against two-share Boolean masking and inner product masking under Hamming weight and LSB leakage. It finds no significant gap between higher and lower orders for HO-ASPA, unlike HO-CPA, and reports that it beats Kruskal-Wallis-based attacks in simulated and real-world experiments.
eprint.iacr.orgpaperAdded 31 Oct 2026, published 29 Oct 2026 - High Precision Noise Cleaning for CKKS with Application to Asynchronous Threshold CKKS
High Precision Noise Cleaning for CKKS is an IACR ePrint preprint (2026/2675) by Zhihao Li, Cheng Hong and Tao Wei. It composes lower-degree Hermite polynomials to reach output noise bounds such as 2^-300 for noise flooding, and uses this to build an asynchronous threshold CKKS scheme with strong simulation security in the random oracle model. In OpenFHE, binary-message cleaning falls from 9.63 s to 1.54 s.
eprint.iacr.orgpaperAdded 31 Oct 2026, published 29 Oct 2026
REALM: Identifying Minimal Task Assets for LLM AgentsREALM (Required Execution Assets Linked to a Mission) is an approach to applying least privilege to LLM agents by identifying the assets a task needs, including ones discovered at runtime. It models assets as Dependency Graph nodes, separates discovering an asset from authorizing it, and exposes resource-bound Partial APIs inside a Task Container. On AgentDyn with qwen3.5-flash, attack success rate falls from 16.6% to 0.2%, with 40.0% task completion on clean tasks and 36.4% on injected cases.
arxiv.orgpaperAdded 31 Oct 2026, published 29 Oct 2026- Cryptography and Security Papers (@FSFG) on X
PrivacyEvalClaw is a tool-augmented deliberative agent that audits privacy leakage in LLM jailbreak responses. The paper is by Krishna Kanth Nakka and co-authors, and it was accepted to AACL-IJCNLP 2026 (arXiv 2610.36711, cs.CR). The tweet gives only the title, authors and venue, so the method and results are not described.
x.compaperAdded 30 Oct 2026, published 29 Oct 2026
Appreciation Teaches Unauthorized Execution: Self-Evolution Degrades the Robustness of Personal Agents to Indirect Prompt InjectionPaper studying whether self-evolution weakens personal agents' robustness to indirect prompt injection (IPI). A two-phase method has the user ask the agent to follow tasks in external content, then tests with a third-party injected task the user did not authorize. Against the non-evolving base agent, attack success rose 14.0 to 48.8 points under skill evolution and 3.0 to 39.3 points under reinforcement learning. Code is released.
arxiv.orgpaperAdded 31 Oct 2026, published 29 Oct 2026
PCM: A Proof-Carrying Message Protocol for Verifiable Multi-Agent CommunicationProof-Carrying Messages (PCM) is a protocol where each claim an AI agent sends carries evidence: records from an append-only Merkle log the agent cannot write, with inclusion proofs, signed by an attesting signer it cannot control. Receivers verify offline and mark each claim proven, unproven or failed. On 926 messages (712 lies in 16 classes) PCM accepted 10 lies, all stale evidence (1.4%), while plain A2A accepted all 712. Verification takes about 1 ms.
arxiv.orgpaperAdded 31 Oct 2026, published 29 Oct 2026- Beyond the Scope of This Paper: Practical Flash-Accelerator and Cache-Collision Timing Attacks on Microcontrollers
Colin O'Flynn's paper shows that the flash accelerator in most microcontrollers produces the same timing collisions as a cache, so cacheless Cortex-M devices remain open to cache-collision attacks on AES. AES keys were recovered from as few as 750 traces across six cryptographic libraries, eight architectures and over twenty devices. It also attacks SPI bootloaders, Ethernet, CTAP2 over USB and 802.15.4, and releases the open-source tool FlashWhisperer.
eprint.iacr.orgpaperAdded 31 Oct 2026, published 29 Oct 2026
Addendum to GPT-6 Luna System Card: October 28, 2026 UpdateAddendum to the GPT-6 Luna system card for the model update of 29 October 2026 (the title says October 28). OpenAI keeps the High rating for cybersecurity and biological/chemical capability under its Preparedness Framework. It reports ExploitBench 46.19% and SEC-Bench Pro 51.75% (GPT-6 Astra: 85.4%), higher multiturn jailbreak defender success than the October 7 version, and GPT-Red prompt-injection results. It also reports weaker factuality and dual-use biology refusal.
deploymentsafety.openai.compaperPublished and added 29 Oct 2026- Cryptography and Security Papers (@FSFG) on X
Log-To-Leak is an arXiv paper (cs.CR, cs.AI) by Yuepeng Hu, Chongyu Fan, Sirat Samyoun and Jian Du on prompt injection attacks against tool-using LLM agents through the Model Context Protocol. The title points to a logging-based data leakage channel. The fetched page holds only the title, authors and arXiv link, with no abstract, so the method and results are not visible here.
x.compaperAdded 29 Oct 2026, published 28 Oct 2026
Secure Transaction Verification and Authorization (STVA)Secure Transaction Verification and Authorization (STVA) is a draft Standards Track ERC (created October 2026) by @MATOBOYCRYPTO65. It proposes structured human-readable metadata and semantic intent for transactions and UserOperations, an independent simulation and verification interface, and scoped, revocable capability tokens for privileged operations. It targets blind signing and frontend supply-chain attacks, citing the February 2025 Bybit Safe multisig theft. The page gives only the abstract, motivation and core concepts.
ethresear.chpaperPublished and added 28 Oct 2026
Shor's algorithm compiled on cat qubits: 22 593 qubits for RSA-2048 in 3.14 daysShor's algorithm compiled on cat qubits is an IACR ePrint (2026/2665) giving an end-to-end resource estimate on superconducting cat qubits, using repetition and LDPC cat codes. Factoring RSA-2048 needs about 23,000 cat qubits and 3.14 days, assuming phase-flip noise p_Z = 5e-4 and no bit-flips. secp256k1 ECDLP needs at most 30,000 qubits and 1 hour. A space-for-time trade runs RSA-2048 in 1.25 hours on about 611,000 qubits.
eprint.iacr.orgpaperPublished and added 28 Oct 2026
Beyond the Event Horizon of Keccak, Extending the Observation from 2011 and applicationsBeyond the Event Horizon of Keccak extends a 2011 observation that a path in the Keccak sponge from a zero-capacity state back to one yields infinite second-preimage families. Three theorems cover loops from any capacity value x, k-block loops and cycles, and Joux-style multicollisions with search cost independent of k. Verified examples run on Keccak-f[200] and Keccak-f[1600] with c=32; it also proposes bridge-based protocols.
eprint.iacr.orgpaperPublished and added 28 Oct 2026
When LLM Architectures Meet Smart Contract Vulnerability Detection: a Replication StudyThis arXiv paper (October 2026) replicates Chen et al.'s study of LLM-based smart contract vulnerability detection. It confirms the high-recall, low-precision pattern on GPT-4, then tests Mixture-of-Experts and RNN-like models plus a preliminary State Space Model run. Gemma-3 matches GPT-4's profile despite far fewer parameters, while two Mixture-of-Experts models diverge, so architecture family alone does not predict detection behavior.
arxiv.orgpaperAdded 30 Oct 2026, published 28 Oct 2026
Session-Bound Behavioral Watermarking for Autonomous LLM AgentsAgentAnchor is a session-keyed behavioral watermark for attributing LLM agent trajectory logs to an owner. It derives per-step keys from a secret key, a fresh public session ID and semantic observation states, and embeds parity evidence through a KL-bounded exponential tilt. The paper formalizes learned cross-session forgery, and a trusted verifier checks disputed logs using wrong-key calibration and abstention.
arxiv.orgpaperAdded 30 Oct 2026, published 28 Oct 2026
Post-Training Large Language Models with LLMONLLMON (LLM Object Notation) is a framework that separates instructions from data and requires explicit identifier-based execution. The authors post-train Granite-4.1 3B and 8B base models with SFT then RL on a 4.6B-token structured corpus covering general, RAG and tool-calling data, with distractor variants. Attack success rates on indirect prompt-injection benchmarks fall from 53-100% to 0.02-5.6%, and general capability is preserved. Attention-based metrics diagnose failures per transformer layer.
arxiv.orgpaperAdded 30 Oct 2026, published 28 Oct 2026
Structured Security Explanations for Learning-Based Vulnerability DetectionVulnLens is a framework for binary C/C++ function-level vulnerability detection. A label-blind LLM Explainer describes each function from seven fixed perspectives (data flow, memory access, object lifetime, arithmetic and type behavior, control flow, shared state, external-resource access). A supervised Detector fuses code and explanations by cross-attention. It reaches 75.5% accuracy and 77.2% F1 on a 526-function PrimeVul test set, and 66.4% accuracy on SecVulEval without retraining.
arxiv.orgpaperAdded 30 Oct 2026, published 27 Oct 2026
Tractable, Not Truncated: Colored-Noise TRNG Security via Fractional Brownian MotionThis ePrint paper models oscillator-based TRNG phase noise, both white and flicker, as fractional Brownian motion. It proves a quasi-renewal property that gives closed-form worst-case min-entropy and sampling requirements, and extends spectral and Allan-variance analysis so noise parameters come from a single timing trace. FPGA and ASIC experiments show flicker noise accounts for over 99% of uncertainty at a 0.99 min-entropy target, allowing a bitrate two to three orders of magnitude higher.
eprint.iacr.orgpaperAdded 28 Oct 2026, published 27 Oct 2026
Heads of Security: Learned Attention Gates Improve Prompt Injection RobustnessHeads of Security (HoS) is a prompt injection defense that enforces instruction-data separation with learned per-head attention gates, redistributing attention between trusted and untrusted tokens. Evaluated on Llama-3.3-70B-Instruct and GPT-OSS-20B against SecAlign++ and ASIDE. The black-box RL-Hammer attack reaches 97% ASR on GPT-OSS-20B and 85% on SecAlign but 10% on HoS. The white-box Claudini attack needs 3 times more FLOPs on HoS. HoS keeps base-model utility in few-shot settings, where SecAlign and ASIDE degrade.
arxiv.orgpaperAdded 28 Oct 2026, published 27 Oct 2026
Radical isogenies on every modelRadical isogenies on every model is an IACR ePrint paper by Thomas Decru (October 2026). It gives radical isogeny steps of every odd degree N directly on short Weierstrass, Montgomery, twisted Edwards, Huff, Jacobi quartic, twisted Hessian, Legendre and Jacobi intersection curves, plus Kummer lines. In Tate normal form a step drops from 12.5N to 10N multiplications. Montgomery and twisted Edwards curves cost 10.5N+O(1) per step and 2N to push a point. All algorithms are inversion-free, with exact operation counts.
eprint.iacr.orgpaperAdded 28 Oct 2026, published 27 Oct 2026
Towards Quantum Sensing for Side-Channel AnalysisPreprint on using nitrogen-vacancy (NV) center quantum sensing for electromagnetic side-channel analysis of ICs. The authors build an NV-based RF spectrometer with 1.1 GHz real-time bandwidth and adjustable center frequency, which reads the spectrum in the time domain without Fourier transforms or frequency sweeps. They use it on RSA decryption emanations and for leakage detection on a software Number Theoretic Transform running on a Cortex-M4 microcontroller.
eprint.iacr.orgpaperAdded 28 Oct 2026, published 27 Oct 2026
Alg\{Ossa\}: Decentralized Secure Aggregation with Rotating Committees and Eventual DeliveryAlgOssa is a decentralized secure aggregation protocol built on Ossa, a generic committee-aided, single-server construction for one-shot clients (following OPA and Willow, CRYPTO 2025). Ossa realizes secure aggregation with non-selective abort against a malicious server. AlgOssa adds Algorand-style sortition to rotate leaders and committees, bounds the chance of an honest server, and gives eventual delivery. Classical and post-quantum routes are evaluated.
eprint.iacr.orgpaperAdded 28 Oct 2026, published 27 Oct 2026
Unshuffling Fisher-Yates: Practical Recovery of Length-128 Permutations and Application to ML-DSAPaper (IACR ePrint 2026/2658) presenting a single-trace side-channel attack on a software Fisher-Yates shuffle of length 128, the butterfly count in one ML-DSA NTT layer. It removes rejection-sampling timing variation, extracts Hamming weight and identity leakage, and enumerates likely permutations with constraint programming. On a shuffled ML-DSA-44 NTT it recovers secret polynomial s1, fully or up to a few coefficients.
eprint.iacr.orgpaperAdded 28 Oct 2026, published 27 Oct 2026
Poly2MsgLeaks: Certified Key Recovery from Polynomial-to-Message LeakagePoly2MsgLeaks is a profiled chosen-ciphertext power-analysis attack on the SMAUG-T (TiMER parameter set) post-quantum KEM that recovers the full 512-coefficient PKE secret from six traces on an STM32F415. It recovers 999 of 1,000 unseen secrets and proves an incorrect key is released with probability at most 2^-2095.6. Single-write message assembly and a two-share masked P2M resisted the evaluated six-execution attack.
eprint.iacr.orgpaperAdded 28 Oct 2026, published 27 Oct 2026
Falcon Key Recovery from Joint Sampler LeakagesFalcon Key Recovery from Joint Sampler Leakages is an ePrint paper presenting a power side-channel attack on Falcon and FN-DSA that fuses three SamplerZ leakages (exponent class of the center, sign bit, proposal magnitude). It turns them into slab and halfspace constraints solved by softplus interval regression, with no LLL or BKZ. On PQClean Falcon-512 (ARM Cortex-M4) it recovered all 50 keys with at most 34 signatures; on c-fn-dsa it recovered 38 of 50 keys within 200 signatures.
eprint.iacr.orgpaperAdded 28 Oct 2026, published 27 Oct 2026
OblivDGL: Oblivious Deep Graph Learning Made PracticalOblivDGL is a secure computation framework for GNN training and inference, modelled on Deep Graph Library. It uses an oblivious message-passing paradigm and an oblivious graph representation built on function secret sharing (FSS). It leaks only total node and edge counts. On four benchmark graph datasets it cuts training communication up to 1024x and runtime up to 14.3x against prior secure GNN systems.
eprint.iacr.orgpaperAdded 28 Oct 2026, published 27 Oct 2026
Measuring Users' Security and Privacy Concerns About Third-Party Community Bots on DiscordMeasurement study of 23,102 third-party Discord bots and 183,142 user reviews (2021-2026, 49 languages). A fine-tuned DeBERTa classifier plus manual validation yields 8,832 security and privacy reviews, mapped to a 31-theme taxonomy; Data Sharing (30.5%) and Data Collection (16.2%) dominate. Permission count and admin status correlate only weakly with user concerns. The authors build BotLens, an MCP-server auditing framework with six tools.
arxiv.orgpaperAdded 28 Oct 2026, published 27 Oct 2026
When Algebraic Structure Meets Too Many Hints"When Algebraic Structure Meets Too Many Hints" is an ePrint paper (2026/2654) arguing that DDGR hint classes and too-many-hints thresholds are not standalone side-channel security metrics. In synthetic Kyber-512 experiments, NTT-domain residues recover the full secret with about half the hints the uniform mod-q bound predicts. Finite-precision FFT samples need 25% to 55% of the budget for uniform perfect hints. No new attack optimizations are proposed.
eprint.iacr.orgpaperPublished and added 27 Oct 2026
What Victims Take Away: Attack Reuse and Defense Revision after Prompt-Injection AttacksWhat Victims Take Away is an October 2026 arXiv paper analysing 563,349 Tensor Trust attack records to see how players reuse prompt injections they received. Within a week, targets reused 10.0% of attacks that broke their defense, versus 0.03% of matched attacks. Breaches were followed by defense changes that cut same-family attack success by 24.5 points. Received texts made up 23.2% of successful hijacks. The authors propose that AI security tools describe techniques without disclosing full attack text.
arxiv.orgpaperAdded 28 Oct 2026, published 27 Oct 2026
Analyzing Compiler-induced Constant-time Violations with Compiler at ScaleCTGREP is a compiler-based framework that applies differential analysis across the whole Clang/LLVM compilation chain to find where, how and under which configurations compiler optimizations break constant-time cryptographic code. Applied to seven libraries, three Clang versions, six targets and thousands of configurations, it led to 48 cases fixed with developers. It also identified seven new problematic LLVM passes and bypassed existing compiler-flag mitigations.
eprint.iacr.orgpaperAdded 27 Oct 2026, published 26 Oct 2026
Log-To-Leak: Prompt Injection Attacks on Tool-Using LLM Agents via the Model Context ProtocolLog-To-Leak is a prompt-injection attack on tool-using LLM agents that abuses Model Context Protocol tool metadata to trigger an attacker-controlled logging call after the last legitimate call, leaking the user query, server name, server response and agent response. Evaluated on five MCP servers and four agents, it reaches 62.64-100% attack success with 76.55-95.64% logging accuracy. Three defenses leave over 55% residual ASR on GitHub MCP with GPT-4o.
arxiv.orgpaperAdded 28 Oct 2026, published 26 Oct 2026
Reva: Real-Time Vulnerability Detection through Contextual Probing of Large Language ModelsREVA (REal-time Vulnerability Analysis) is an LLM-based vulnerability detector that screens each new function in one forward pass. It feeds the model a pre-computed module threat model, lightweight static analysis findings and call-graph data, then reads the model's internal representations with a trained probe. On PrimeVul's held-out test set with GLM-5.3-Flash it reaches 60.0% accuracy in about one second per function, matching the agentic VulTriage (59.2%) while over 250 times faster.
arxiv.orgpaperAdded 28 Oct 2026, published 26 Oct 2026
LINE-Break: Cryptanalysis and Reverse Engineering of Letter SealingLINE-Break is a security analysis of Letter Sealing v2, the custom end-to-end encryption protocol in the LINE messenger. A TLS man-in-the-middle attacker or malicious server can replay, reorder and block messages undetected, and colluding users can forge message authorship in one-to-one and group chats. Stickers and URL previews leak plaintext. The attacks were verified on the real iOS app and an independent implementation.
eprint.iacr.orgpaperPublished and added 26 Oct 2026
Cheap AI-Assisted Reverse Engineering and What It Will Do"Cheap AI-Assisted Reverse Engineering and What It Will Do" is an October 2026 arXiv paper (Computers and Society) arguing that generative AI strains the law of reverse engineering. AI systems can identify hardware components, extract firmware, decompile object code and clone apps, which removes the cost barrier that laws rely on. The authors map these practices onto trade secret, copyright, anti-circumvention, computer misuse and contract law, and sketch possible legal responses with their trade-offs.
arxiv.orgpaperAdded 28 Oct 2026, published 26 Oct 2026
Revisiting ZMAC+: Birthday-Bound Attacks and a Beyond-Birthday-Bound RepairZMAC+ is a tweakable-block-cipher MAC (List and Nandi, ToSC 2017) with claimed beyond-birthday-bound security. This ePrint paper (2026/2647) shows a tag-swap attack: for two-block tags, a distinguisher and a fresh-message forgery with constant success probability using O(2^{n/2}) queries in the ideal-TBC model. It also corrects a counting error in the published Lemma 4 and proposes a repaired variant with an adaptive PRF bound of order q^2/2^{n+min(n,t)}.
eprint.iacr.orgpaperPublished and added 26 Oct 2026
Then there is prompt injection, a malicious email, ...: The Wild Wide West of OpenClaw Agentic System SecurityAn empirical study of security concerns in the OpenClaw AI personal assistant framework, using 25K+ posts from 13 subreddits (162 security-relevant) and 358 security-tagged GitHub issues (180 retained). It maps 521 CWE instances across 59 weakness types, concentrated in access control, sensitive-data exposure, injection and unsafe execution. It extracts 543 practitioner mitigations into seven strategies and reconstructs a sensitive-data exposure path with dummy secrets.
arxiv.orgpaperAdded 28 Oct 2026, published 26 Oct 2026
Non-profiled Single-Trace ML-DSA Secret Key Recovery by Horizontal Distribution AnalysisNon-profiled single-trace side-channel attack on ML-DSA-65 (Dilithium) running on ARM Cortex-M4, by Linus Backlund and Elena Dubrova (KTH). It compares observed sample distributions with expected Hamming weight leakage using a Gaussian mixture model, and stacks partitioned trace segments for multiple observations. Information-set decoding corrects misclassifications; with a 2^70 enumeration budget, the full secret key is recovered from one trace in 99% of attacks, using secret key unpacking as the attack point.
eprint.iacr.orgpaperPublished and added 26 Oct 2026
Cryptanalysis and Repair of "Decentralized Multi-authority ABE for NC$^1$ from BDH"Cryptology ePrint 2026/2642 presents a plaintext-recovery attack on the DBDH and CBDH variants of the Datta, Komargodski and Waters multi-authority ABE for NC1 (Journal of Cryptology, 2023). It needs one corrupt authority and two users, and succeeds with probability one in the static model. The flaw is an invalid extension of the Rouselakis-Waters LSSS matrix-normalization lemma. The paper also attacks two Datta-Pal (PKC 2023) attribute-based inner-product schemes and proves repaired versions secure in the random oracle model.
eprint.iacr.orgpaperPublished and added 26 Oct 2026
A Memory-efficient Implementation of Wiedemann XLA Memory-efficient Implementation of Wiedemann XL is an ePrint paper (2026/2641) giving the first efficient on-the-fly implementation of XL with block Wiedemann for the multivariate quadratic problem. It builds on the CCNY SSE implementation, removes column-index tables, and computes column indices with O(n^2) instead of O(n^3) look-ups. It runs in comparable BW1 time with up to five times less memory, and an AVX2 port covers F256, the main field of UOV.
eprint.iacr.orgpaperPublished and added 26 Oct 2026
Subexponential Algorithms for LWE via Rejection Sampling on SuperlatticesSubexponential Algorithms for LWE via Rejection Sampling on Superlattices is an ePrint paper by Ligeng Fan, Changpeng Shao, Hongbo Li and Dingkang Wang. It extends the Ducas, Engelberts and Loyer superlattice framework to give a provable classical search-LWE algorithm for prime q in [n^2, 2n^2], using m=4n samples and time and space exp(O(n/ln ln n)). A second variant runs in 2^((1/2+o(1))n/ln R) for general parameters. It resolves a gap left by Kirchner and Fouque.
eprint.iacr.orgpaperPublished and added 26 Oct 2026
Scope-Gap Injection: Exploiting Evaluator Channel Blind Spots in the OpenClaw Agent Security CompetitionScope-Gap Injection (SGI) is an indirect prompt injection method for multi-stage LLM-agent safety pipelines, tested in the IJCAI 2026 OpenClaw Agent Security Attack Competition. The visible task and skill stay benign while target identifiers, bypass parameters and authorization steps sit in an attachment written as a business worklist, which the S2 LLM judge appears not to inspect. SGI bypassed all three stages (static scan, LLM judge, live audit) for 5 of 19 targets, best F = 0.385. Attachment placement had 78% S2 acceptance versus 23% in-skill. The paper closes with defenses that align evaluator scope with agent channels.
arxiv.orgpaperAdded 27 Oct 2026, published 26 Oct 2026
Private Information Retrieval with Accountability at Erasure-Optimal Server RedundancySynTrace is a single-round compiler that adds accountability to linear private information retrieval (PIR). The client mixes the retrieval query with m audit queries, so audit syndromes identify up to d deviating servers among t colluding ones before reconstruction. The paper proves perfect query privacy and zero false identification within the threshold. For Shamir-based PIR it needs k=t+d+1 servers. For a 32 KiB record from a 1 GiB database it uses 2.25 MiB, against 8.96 MiB for the Eriguchi, Kurosawa and Nuida (TCC 2022) homomorphic-MAC construction.
eprint.iacr.orgpaperPublished and added 26 Oct 2026
Addendum to GPT-6 Astra System Card: GPT-6.1 TerraAddendum to the GPT-6 Astra system card for OpenAI's GPT-6.1 Terra, rated Critical in cybersecurity and High in biological and chemical capability under the Preparedness Framework. It reports multiturn jailbreak and prompt-injection results, alignment tests (auto-review circumvention, ExploitGym honeypot, monitor evasion), and cyber scores: 97.10% ExploitBench, 24.5% on the internal recent-vulnerability port, 5 of 22 Sandbox Bench targets.
deploymentsafety.openai.compaperPublished and added 26 Oct 2026
SentryBench: A Cost-Sensitive Benchmark for Adversarial Robustness of Tool-Using LLM Agents in Public-Safety DeploymentsSentryBench is a benchmark for tool-using LLM agents in public-safety settings (public alerts, responder dispatch, citizen-record queries). It scores attack success, over-refusal and over-reaction on a cost-sensitive frontier, using real emergency-call transcripts and real injection/jailbreak payloads. Across 840 episodes on three frontier models and three defenses, refuse-more caution raised over-refusal to 100 percent on two models, while a trust-gating wrapper gave the lowest harm on every model.
arxiv.orgpaperAdded 27 Oct 2026, published 25 Oct 2026
Decision Attacks on Known-Covariance Ring-LWE via Public Gram DeterminantsAnis Bkakria's ePrint 2026/2638 gives polynomial-time decision attacks on Known-Covariance Ring-LWE (KCov-RLWE), the assumption Micciancio and Suhl introduced for simulation-secure threshold encryption. The public sample and covariance hint form a bordered Gram matrix whose determinant leaks a residual that differs between real and uniform samples. The attacks cover broad prime-modulus families at ring rank one and transfer to composite moduli with an odd prime divisor. Power-of-two moduli are not covered, and the paper does not break the full threshold-encryption scheme.
eprint.iacr.orgpaperAdded 26 Oct 2026, published 25 Oct 2026- UTS #39: Unicode Security Mechanisms
UTS #39 (Unicode Security Mechanisms) is the Unicode Consortium's technical standard for detecting identifier spoofing. It defines the General, IDN and Email security profiles for identifiers, confusable detection through skeleton and bidiSkeleton mappings, and mixed-script detection with resolved script sets and Restriction Levels. It also covers limited contexts for ZWJ/ZWNJ and the confusables and identifier data files. The fetched text is truncated, so later sections are not covered.
unicode.orgpaperAdded 26 Oct 2026, published 25 Oct 2026
SymLift: Neural Semantic Lifting for Compile-Free Vulnerability Detection in Context-Incomplete Code FragmentsSymLift is a compile-free vulnerability detection framework for context-incomplete code fragments. A fine-tuned LLM lifts control-flow, data-flow, memory and resource relations into a constrained LLVM-like IR. A parser turns the IR into facts, and Datalog rules derive findings with derivation traces. On Juliet function-level fragments Clang compilation success falls to 12.00%, while SymLift's completion rate drops only 1.17 points. SymLift-Qwen-7B reaches Target-F1 94.41% on FormAI and 91.66% micro-F1 on MegaVul.
arxiv.orgpaperAdded 28 Oct 2026, published 25 Oct 2026
Maximum-Likelihood Decoding of Gabidulin Codes Is NP-Hard Even in Dimension OnePhilippe Gaborit proves that maximum-likelihood decoding of Gabidulin codes is NP-hard even for dimension one: deciding rank distance at most n-2 from the code {λg} is NP-complete. The reduction is deterministic, so Rank Syndrome Decoding and Rank Minimum Distance for F_{q^m}-linear codes are NP-complete under deterministic reductions, where the earlier reduction was randomized. It goes through a new pivot problem, Twisted Square Membership.
eprint.iacr.orgpaperAdded 26 Oct 2026, published 25 Oct 2026
Revisiting AES Key Wrap: Forgery Bounds, Structural Observations, and Recommendations for the Revision of NIST SP 800-38FRevisiting AES Key Wrap is an ePrint paper (2026/2636) by John Preuß Mattsson, expanded from technical comments to NIST on the SP 800-38F revision. It shows the stated forgery probabilities ignore adaptive attacks and gives corrected bounds for KW, KWP and TKW. It also shows KW lacks beyond-birthday-bound security, since a forgery leaks a plaintext prefix and an encryption-only distinguisher exists.
eprint.iacr.orgpaperAdded 26 Oct 2026, published 25 Oct 2026
A Kelsey–Kohno Attack Variant against SHA-2 Message Digests in HSS/LMS and XMSSFalko Strenzke's ePrint 2026/2635 presents a multi-target second-preimage attack on message hashing in HSS/LMS and XMSS with SHA-256 and SHA-256/192. It herds chaining states from many collected signatures into one state, defeating the key and leaf-index prefix. With 2^64 signatures, SHA-256 cost falls from 2^256 to about 2^166 (2^156 at maximal message length). SHAKE256 parameter sets are unaffected.
eprint.iacr.orgpaperAdded 26 Oct 2026, published 25 Oct 2026
The Policies of Programming Language Ecosystems: A "Qualitative" AnalysisThe Policies of Programming Language Ecosystems is an October 2026 arXiv paper (cs.SE) that compares the policies of eight programming language ecosystems, including CRAN for R, across 38 policy categories. Three authors coded the policies with moderate agreement. Malware, intellectual property and content removal are covered everywhere, while package size limits, metric manipulation, typosquatting and binary uploads diverge.
arxiv.orgpaperAdded 28 Oct 2026, published 25 Oct 2026
Reversible Pseudonymisation of Documents Sent to External LLMs: an Open Bilingual Benchmark and an EngineOpen bilingual (Russian and UK English) benchmark of five open pseudonymisation tools and a regex baseline, plus a new engine built on the two strongest tools. On a held-out set of 1,000 synthetic documents per language, the best existing tools leave a whole personal value visible in 61% (Russian) and 58% (UK) of documents. The engine does so in 0.3% and 0.2%. Russian name restoration reaches only 94.6%, below the 99% threshold. Real documents were not tested.
arxiv.orgpaperAdded 27 Oct 2026, published 25 Oct 2026
On the Inapplicability of Residue-Confined Error Attacks to CRT-FHE with Non-Degenerate Error DistributionsAnil Kumar Pradhan's October 2026 ePrint rebuts the Olejnik and Naskrecki (2026) key-recovery and plaintext-recovery attack on the Pradhan CRT-RLWE fully homomorphic encryption scheme. It argues the attack works only because the chosen error distribution lies in the kernel of the CRT encoding, which makes the effective error zero. It also argues that the intended centered-binomial errors make that event negligible at the reported parameters. This is the author's own response, not independent verification.
eprint.iacr.orgpaperAdded 26 Oct 2026, published 24 Oct 2026
Chosen Commitments and Certified Decoding Regions in the Adaptive Threshold Schnorr AttackThis IACR ePrint 2026/2632 paper by Demirtaş and Yayla analyses the Crites–Stewart adaptive forgery attack on threshold Schnorr signatures, which needs one call to a sparse linear search oracle (bounded distance decoding of a scaled Reed–Solomon code). It shows that choosing the commitment coefficient vector does not help much: a wrapper adversary with Q challenges succeeds with probability at most QM/p, even if its solvers decode every witness for free. For the six original (N, τ) pairs, M stays below 2^24, so the bound is under 2^-100 after 2^128 challenges at p = 2^252.
eprint.iacr.orgpaperAdded 26 Oct 2026, published 24 Oct 2026
Ranking Is Not Deciding: Benchmark Shortcuts and Operating-Point Collapse in Query-Time RAG Poisoning DefensesRanking Is Not Deciding is an October 2026 arXiv paper showing that query-time RAG poisoning filters score near-perfectly because of how the poison set was built. PoisonedRAG's code prepends the target question to each passage. Removing that prefix takes RAGuard from AUROC 0.953 to 0.758 and its miss rate from 0.191 to 0.763. The authors release a script that profiles a poison set.
arxiv.orgpaperAdded 27 Oct 2026, published 24 Oct 2026
VeilDNS: Post-Quantum DNS Privacy from the First UDP PacketVeilDNS is a DNS-native protocol that uses a post-quantum KEM and AEAD to encrypt DNS questions and answers and authenticate the resolver in one UDP exchange on port 53, preserving the DNS wire format. It has stateless and stateful modes plus optional forward secrecy from the second query. Against ML-DSA-authenticated DoT/DoH/DoQ it reports up to 3.5x higher cold-session throughput and 13.7x fewer bytes; Tamarin proves query confidentiality, response authentication and forward secrecy.
eprint.iacr.orgpaperAdded 26 Oct 2026, published 24 Oct 2026
Enhancing LLM-Based Vulnerability Detection via Representation-Aware Logical EnsembleRALE (Representation-Aware Logical Ensemble) is a method for detecting vulnerabilities in C source code with LLMs trained on different code representations: raw source, Abstract Syntax Trees and Control Flow Graphs. The authors show the representations suit different vulnerability classes, and combine the models with explicit logical rules and majority voting. Single-representation models reach up to 73% F1, while the ensemble reaches 78%.
arxiv.orgpaperAdded 28 Oct 2026, published 24 Oct 2026
VulDec: Vulnerability Detection in Binaries via Neural DecompilationVulDec is an arXiv paper (October 2026) presenting a dataset of real-world Assembly-C function pairs with CWE labels across multiple architectures, plus an end-to-end framework that uses neural decompilation for binary vulnerability detection. Tuned LLM decompilers reach about 56% Edit Similarity and 43% BLEU-4. Tuned LLM detectors reach macro F1 of 0.61 on a realistic test set with a 3% vulnerability rate.
arxiv.orgpaperAdded 28 Oct 2026, published 24 Oct 2026
Extraction meets Distillation - cryptanalytic techniques to recover parameters from a Deep Neural NetworkExtraction meets Distillation is an IACR ePrint paper (2026/2628, CSCML 2026) that combines cryptanalytic weight-direction extraction with label-based distillation to reconstruct fully connected neural networks. It adapts a ReLU extraction implementation to Leaky ReLU and proves conditional bounds for direction recovery and sign selection. On CIFAR-10 victims, reconstructed models reach 56.40% and 58.29% agreement. It separates label requests from privileged access and notes that prediction agreement does not identify parameters.
eprint.iacr.orgpaperAdded 26 Oct 2026, published 24 Oct 2026
The Exact Bit Security of Hash-Based SignaturesThe Exact Bit Security of Hash-Based Signatures is a 2026 IACR ePrint paper that analyses XMSS with 128-bit digests and SLH-DSA-128s in the random oracle model, with proofs formalised in Lean4. Strong unforgeability comes to 127 bits under most accounting modes but only 122 bits if just direct random oracle queries are counted. The authors give matching attacks, and show how resource accounting changes the result.
eprint.iacr.orgpaperAdded 26 Oct 2026, published 24 Oct 2026
Provable Security of SHA-256-Based LMS Revisited in the Ideal-Cipher ModelProvable Security of SHA-256-Based LMS Revisited in the Ideal-Cipher Model is an October 2026 ePrint paper by Chun Guo, Hao Cheng, Bart Preneel and Meiqin Wang. It shows forgery attacks on LMS_SHA256_M32 and LMS_SHA256_M24 that exploit Merkle-Damgård structure, so the Katz and Fluhrer random-oracle bounds do not apply. It proves ideal-cipher-model bounds: about 256 minus log2 of the block count for M32, and a minimum of two terms for M24.
eprint.iacr.orgpaperAdded 26 Oct 2026, published 24 Oct 2026
Faster Matrix Multiplication Leads to Faster Lattice SievingGao and Hu's IACR ePrint 2026/2622 shows that if the matrix multiplication exponent satisfies ω ≤ 9/4 − η, heuristic lattice sieving runs in (3/2 − δ)^(n/2+o(n)) time under the spherical heuristic from the BDGL analysis. It builds on OpenAI's recent result that ω ≤ 9/4. With known matrix multiplication algorithms, the method already gives subquadratic search inside BDGL buckets. Only the abstract is available, so concrete parameters are not shown.
eprint.iacr.orgpaperAdded 26 Oct 2026, published 24 Oct 2026
When Elliptic-Curve Semiprimality Certificates Reveal FactorsThe paper formalizes elliptic-curve semiprimality certificates by adapting the Goldwasser-Kilian primality criterion. For certificates built with complex multiplication, a norm-lattice reconstruction factors N from (N, S, D) alone in expected polynomial time. The author uses it, plus public-point and quadratic-twist attacks, to factor Reble's 1084-digit and Broadhurst's 5061-digit moduli, and shows that hidden-cofactor, withheld-CM-map and private-isogeny repairs also fail.
eprint.iacr.orgpaperAdded 26 Oct 2026, published 24 Oct 2026
Deletion, Substitution, Repair and Transplant: Component Attribution in BARBICAN, a Layered Prompt-Injection Gateway for MCPBARBICAN is a fail-closed prompt-injection gateway for MCP tool mediation. This paper shows its arbitration classifier ran on tokenizer-mangled text for a whole evaluation. Fixing it raised AUC from 0.392 to 0.855 while system recall fell from 80.67% to 80.34%. The routed band is 96.82% malicious, so deletion ablations mislead without substitution experiments and class-balance reporting.
arxiv.orgpaperAdded 27 Oct 2026, published 23 Oct 2026
Faster and Smaller Anonymous Credentials from Standardized SignaturesGordieHowe is a language, certifying compiler and zero-knowledge proof system for building anonymous credentials on standardized signatures (ECDSA, RSA, ML-DSA). It proves an ECDSA-signed mobile driving license presentation in 64.8 ms with a 276 KiB proof, 10.1x faster than Google's Longfellow, and an ML-DSA-44 signature in 87.3 ms with at least 116 bits of quantum security. Compiler output and security theorems are checked in Lean. It introduces series-parallel IOPs and extends the BCS transformation in the QROM.
eprint.iacr.orgpaperAdded 24 Oct 2026, published 23 Oct 2026
On Task, Off Track: Benchmarking LLM and Agent Robustness to Near-Target Prompt InjectionNTBench (Near-Target Benchmark) tests LLM and agent robustness to near-target prompt injection, where injected instructions steer a response toward a plausible but incorrect or harmful outcome instead of abandoning the task. It builds reference-guided target-instruction pairs on existing datasets, with human validation, and evaluates seven LLMs on ten language datasets and two agent benchmarks. Attack success rose 9.3 to 35.8 points (incorrect targets) and 1.7 to 17.3 points (harmful targets) over fixed-target baselines.
arxiv.orgpaperAdded 26 Oct 2026, published 23 Oct 2026
Tight Post-Quantum Multi-Key Security of the FX ConstructionRentaro Shiba and Tetsu Iwata prove a tight multi-key security bound for the FX construction (the DESX generalization) in the quantum ideal cipher model. Security holds up to about 2^((n+κ)/3) total classical and quantum oracle queries against fully adaptive adversaries, for any number of keyed instances μ≥1. This improves their ToSC 2026 bound and matches the offline Simon's algorithm attack in the exponent.
eprint.iacr.orgpaperAdded 24 Oct 2026, published 23 Oct 2026
Learning with Quantization and Worst Case Lattice ProblemsLearning with Quantization and Worst Case Lattice Problems is an IACR ePrint paper (2026/2613) by Ziwei Hong and Zhongqiu Fang. It proves that search and decision learning with quantization (LWQ) with public dither is as hard as quantum GapSVP and SIVP on arbitrary lattices, using the randomized polar lattice quantizer of Lyu et al. It also shows that a complete reduction for interval uniform error LWE (MAMBA Frost) and hardness at concrete MAMBA parameters are not established.
eprint.iacr.orgpaperAdded 24 Oct 2026, published 23 Oct 2026
For Thirty Pieces of Silver: Overcoming Non-IID via ZKP Sample-Level Auditing and Forcing Attackers into Traitors in Federated LearningPreprint (IACR ePrint 2026/2611) proposing a federated learning defense that replaces gradient detection with zero-knowledge-proof sample-level audits of client datasets. A staking mechanism forces attackers to train on discovered poisoned samples with flipped labels, producing counter-gradients that remove the backdoor without knowing the trigger. ZKP commitments lock the training data, which blocks adaptive attacks and gradient tampering. On CIFAR-10 under Dir(0.1) non-IID, it holds attack success rate below 6% against distributed backdoor and edge-case attacks.
eprint.iacr.orgpaperAdded 24 Oct 2026, published 23 Oct 2026
Pairwise Independence of Ten-Round AESPairwise Independence of Ten-Round AES (Zhongfeng Niu, Kai Hu, ePrint 2026/2608) proves that ten rounds of AES with independent uniform round keys and input/output whitening are within 3017/2^141 (below 2^-129) statistical distance of pairwise independent. The proof bounds the averaged difference-distribution matrix over five superbox layers, using Gram moments and MDS code constraints. Final-round MixColumns omission is retained.
eprint.iacr.orgpaperAdded 24 Oct 2026, published 23 Oct 2026
Agentic AI Defense: Decode-Time Provenance Binding for MCPDecode-time provenance binding is a defense for Model Context Protocol agent pipelines against cross-modal trust laundering, where instructions hidden in an email-signature image via LSB, DCT or metadata steganography get decoded by a tool. It combines HMAC-authenticated trust labels, a provenance ledger and context-taint tracking to block critical tool calls. On a real MCP testbed with 24 adaptive payloads, attack success fell from 100% undefended (62.5% for keyword and regex filters) to 0%.
arxiv.orgpaperAdded 26 Oct 2026, published 22 Oct 2026
Mímir: A Stateless Private Search EngineMímir is a cryptographic protocol for stateless semantic private search over highly dynamic public databases. It uses homomorphic ciphertext switching, relies on (Ring) Learning with Errors, and needs no offline communication. Against Tiptoe it matches search quality with 84x less per-query communication (0.24 MiB). Against PACMANN it raises quality from 76% to 81% of non-private search, with a 9.54 MiB one-time cost instead of 2.68 GiB, but is 2.1x slower.
eprint.iacr.orgpaperAdded 24 Oct 2026, published 22 Oct 2026
Balsamic: One-round Threshold UOV from GPU-Accelerated FHEBalsamic is a complete homomorphic Unbalanced Oil and Vinegar (UOV) signer, used to build one-round threshold UOV signatures from a packed discrete-CKKS FHE circuit. A paired-pivot linear solver and pivot-success certificates allow encrypted retry selection. In 2-out-of-3 semihonest signing, each online partial signature takes 10.7 s on an RTX 6000 Ada and 7.77 s on a GB300, with 5.25 MB per response.
eprint.iacr.orgpaperAdded 24 Oct 2026, published 22 Oct 2026
Integer Coordinate Families and Threshold RSA Signatures for Any Prime ExponentPaper by Shivansh Jaiswal and Somitra Sanadhya (IACR ePrint 2026/2601) on integer coordinate families for threshold RSA signatures with prime exponent e. It shows the CT-RSA 2026 Ng-Lau scheme admits trivial forgeries and has a flawed proof. It proposes repaired scheme PiIC and integer secret-sharing scheme PiZ for any prime e and any (t,n), both proven TS-UF-CMA secure under the standard RSA assumption. It also gives super-polynomial coordinate lower bounds for pairwise families.
eprint.iacr.orgpaperAdded 24 Oct 2026, published 22 Oct 2026
Linear Cryptanalysis of TFHE-Friendly Cipher FRAST in the Average Key SettingLinear cryptanalysis of FRAST, a TFHE-friendly stream cipher, in the average key setting. It fixes the false-positive problem left open in the earlier attack by Bak et al., showing key differences fall into five indistinguishable classes per round. The Contract algorithm recovers the master key for 10 rounds and, on weak keys of density 2^-11.8 to 2^-5.4, reaches full FRAST within the claimed security.
eprint.iacr.orgpaperAdded 24 Oct 2026, published 22 Oct 2026
The Good, the Bad, and the Noisy: A Systematic Analysis of Ring-Oscillator-Based Noise GeneratorsThis IACR ePrint paper (2026/2597) systematically compares ring-oscillator-based additive noise generators, a hiding countermeasure against side-channel attacks. Experiments show many existing designs ignore output amplification and the risk of the noise being filtered out, so they lower signal-to-noise ratio too little. The authors give a guideline on inverter chain length, output amplification and frequency randomization, and build a tailored generator for an AES implementation that outperforms prior designs.
eprint.iacr.orgpaperAdded 24 Oct 2026, published 22 Oct 2026
SecLog-Bench: A Scalable Benchmark for Cybersecurity Log Reasoning with Scaffolded EvidenceSecLog-Bench is a benchmark for LLM reasoning over cybersecurity logs, built on an extensible simulation platform covering 29 attack scenarios. It combines audit logs, application logs and network traffic, with attack-stage labels and step-by-step evidence chains. Eight LLMs were tested on post-detection attack-progress reasoning: the best reached 44.44% accuracy, 45.07% Macro-F1 and 54.87% Stage Reasoning F1.
arxiv.orgpaperAdded 23 Oct 2026, published 22 Oct 2026
Getting to the right root: radical isogenies of every degreeThomas Decru's ePrint 2026/2595 proves a corrected version of radical isogeny formulae for every N≥4, odd and even, over fields of characteristic coprime to 2N. It settles the sign choice for even N so that 2-isogeny walks stay on the volcano surface. One radical step costs about 12.5N multiplications and one exponentiation, and the paper shows how to evaluate radical isogenies on points, so a CSIDH class group action needs no torsion point sampling.
eprint.iacr.orgpaperAdded 24 Oct 2026, published 22 Oct 2026
Efficient Laconic Oblivious Transfer with Malicious SecurityEfficient Laconic Oblivious Transfer with Malicious Security is an ePrint paper (2026/2593, ASIACRYPT 2026 revision) giving the first maliciously secure laconic OT that uses its primitives only as black boxes. It adds equivocal vector commitments and maliciously secure witness encryption to the commitment-plus-witness-encryption paradigm. Security is proven in the UC model against malicious senders and in the context model against malicious receivers. Instantiations use LWE and bilinear Diffie-Hellman assumptions in the standard model.
eprint.iacr.orgpaperAdded 24 Oct 2026, published 22 Oct 2026
Sotto Maschera: Masking the Sota-Voce Fixed-Weight Vector SamplingSotto Maschera is a masked implementation of the Sota Voce sparse fixed-weight vector sampler (Sota support sampler and MWSupport conversion) for embedded devices, protecting against power side-channel attacks. It bitslices sorting, merging and compaction and masks only in the Boolean domain, avoiding slow conversions. TVLA evaluations show no leakage, and HQC runs up to 45x faster than previous masked work.
eprint.iacr.orgpaperAdded 24 Oct 2026, published 21 Oct 2026
Rerandomizable Garbling for Arithmetic CircuitsRerandomizable Garbling for Arithmetic Circuits is an IACR ePrint paper (2026/2590) by Acharya, Meyer, Orlandi and Roy. It gives the first rerandomizable garbling scheme for arithmetic circuits, built on techniques from garbling via homomorphic secret sharing. Communication is O(|C| log B), with 17 group elements per multiplication gate and free additions. Security rests on subgroup-indistinguishability assumptions such as DCR and class groups.
eprint.iacr.orgpaperAdded 24 Oct 2026, published 21 Oct 2026
Prompt Injection Through Forensic Evidence: A Taxonomy and Proof of Concept of Anti-Forensic Attacks on LLM-Assisted Digital InvestigationsPaper on prompt injection delivered through forensic evidence, where the seized device's contents are attacker-controlled and the examiner must read them. It extends the anti-forensic model to cover manipulation of the reasoning layer and gives a taxonomy (objective, technique, payload location, concealment). Three proof-of-concept attacks on an LLM-assisted analysis pipeline change a reported conclusion, write attacker-chosen content to the analyst workstation, and trigger outbound network traffic. Mitigations are proposed.
arxiv.orgpaperAdded 24 Oct 2026, published 21 Oct 2026
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