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265 results for β€œSEC”

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  1. GPT-Rosalind-6 System Card Addendum

    GPT-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 2026πŸ›‘οΈ Security

  2. Don't Lose the Thread: Empowering Long-Horizon LLM Agents with Cognitive Resource Self-Allocation

    CORAL (Cognitive Resource Self-Allocation) is an agent-callable working-memory toolset that lets an LLM agent checkpoint task progress and verified facts, then reset its cluttered context and resume from a clean state. A Multi-episode Agentic Reinforced Policy Optimization algorithm trains the checkpointing. With an 8B model it reaches 42.8% average accuracy on GAIA, uses 6-7x fewer input tokens than a ReAct agent, and adds 8.0 points to a proprietary agent on BrowseComp.

    arxiv.orgpaperAdded 31 Oct 2026, published 29 Oct 2026🧠 AI

  3. 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 2026πŸ›‘οΈ Security

  4. Turing LLM Post-Training: Calibrated Distillation and Efficient Dynamic-MoE Execution

    Turing LLM post-training combines calibrated multi-teacher on-policy distillation (C-MOPD) with an execution path for dynamically routed mixture-of-experts models. C-MOPD matches each teacher on a local Top-K support with teacher-wise loss normalization and clipping. On Turing-20B-A2B it scores 0.9988 on four-domain integration, beats Qwen3-8B on math and code (85.92 vs 80.33 mean), and cuts consolidation step time from 398.7 to 139.3 seconds in a PPU profile.

    arxiv.orgpaperAdded 31 Oct 2026, published 29 Oct 2026🧠 AI

  5. 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 2026πŸ›‘οΈ Security

  6. 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 2026πŸ›‘οΈ Security

  7. Sparse Autoencoders as Implicit Diversification Regularisers for Cross-Sectional Cryptocurrency Returns

    This arXiv preprint (October 2026) tests a sparse autoencoder as a factor model for daily cryptocurrency returns, with equities as a secondary test. SAE portfolios show consistently lower volatility than common benchmarks, linked to lower correlations among selected assets. They do not beat a simple contrarian strategy on risk-adjusted return, and factor identities change between training runs.

    arxiv.orgpaperAdded 31 Oct 2026, published 29 Oct 2026🧠 AI

  8. 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 2026πŸ›‘οΈ Security

  9. Cryptography and Security Papers (@FSFG) on X

    PrivacyEvalClaw is a tool-augmented deliberative agent for auditing privacy leakage in LLM responses produced under jailbreak prompts. By Krishna Kanth Nakka and five co-authors, the paper is on arXiv (cs.CR) and accepted to AACL-IJCNLP 2026. The fetched post gives only the title, authors and venue, so method details and results are not available here.

    x.compaperAdded 30 Oct 2026, published 29 Oct 2026🧠 AI

  10. Addendum to GPT-6 Luna System Card: October 28, 2026 Update

    Addendum 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 2026πŸ›‘οΈ Security

  11. 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 2026πŸ›‘οΈ Security

  12. 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 2026πŸ›‘οΈ Security

  13. Shor's algorithm compiled on cat qubits: 22 593 qubits for RSA-2048 in 3.14 days

    Shor'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 2026πŸ›‘οΈ Security

  14. Beyond the Event Horizon of Keccak, Extending the Observation from 2011 and applications

    Beyond 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 2026πŸ›‘οΈ Security

  15. Session-Bound Behavioral Watermarking for Autonomous LLM Agents

    AgentAnchor 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 2026πŸ›‘οΈ Security

  16. Session-Bound Behavioral Watermarking for Autonomous LLM Agents

    AgentAnchor is a session-keyed behavioral watermark that lets an agent owner prove ownership of a trajectory log. Each step key comes from a secret key, a fresh public session identifier and semantic states of recent observations. Parity evidence is embedded through a KL-bounded exponential tilt of action choices. A trusted verifier checks disputed logs without rerunning the agent, using wrong-key calibration and abstention. The paper also formulates a learned cross-session forgery threat.

    arxiv.orgpaperAdded 30 Oct 2026, published 28 Oct 2026🧠 AI

  17. Structured Security Explanations for Learning-Based Vulnerability Detection

    VulnLens 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 2026πŸ›‘οΈ Security

  18. Tractable, Not Truncated: Colored-Noise TRNG Security via Fractional Brownian Motion

    This 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 2026πŸ›‘οΈ Security

  19. Heads of Security: Learned Attention Gates Improve Prompt Injection Robustness

    Heads 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 2026πŸ›‘οΈ Security

  20. Heads of Security: Learned Attention Gates Improve Prompt Injection Robustness

    Heads of Security (HoS) is a prompt injection defense that trains a small set of per-head attention gates to shift attention between trusted and untrusted tokens, separating instructions from data. Tested on Llama-3.3-70B-Instruct and GPT-OSS-20B, the black-box RL-Hammer attack reaches 10% ASR on HoS versus 97% on base GPT-OSS-20B and 85% on SecAlign. HoS keeps base utility in few-shot settings, where SecAlign and ASIDE degrade.

    arxiv.orgpaperAdded 28 Oct 2026, published 27 Oct 2026🧠 AI

  21. Radical isogenies on every model

    Radical 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 2026πŸ›‘οΈ Security

  22. Tessera: Structure-Completed Evidence Units for Web Retrieval-Augmented Generation

    Tessera is a training-free evidence delivery layer for web retrieval-augmented generation. It rebuilds retrieved pages' HTML into fine-grained evidence units, each completed with page title, section path and table headers, then packs the relevant units into the reader context at the same token budget. Tracing evidence over full English Wikipedia shows chunking loses table and infobox content. Tessera adds 5 to 6 accuracy points on three QA benchmarks and carries over to agentic search.

    arxiv.orgpaperAdded 28 Oct 2026, published 27 Oct 2026🧠 AI

  23. Alg\{Ossa\}: Decentralized Secure Aggregation with Rotating Committees and Eventual Delivery

    AlgOssa 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 2026πŸ›‘οΈ Security

  24. Unshuffling Fisher-Yates: Practical Recovery of Length-128 Permutations and Application to ML-DSA

    Paper (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 2026πŸ›‘οΈ Security

  25. Poly2MsgLeaks: Certified Key Recovery from Polynomial-to-Message Leakage

    Poly2MsgLeaks 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 2026πŸ›‘οΈ Security

  26. OblivDGL: Oblivious Deep Graph Learning Made Practical

    OblivDGL 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 2026πŸ›‘οΈ Security

  27. OblivDGL: Oblivious Deep Graph Learning Made Practical

    OblivDGL is a framework for secure GNN training and inference in machine-learning-as-a-service settings, modelled on Deep Graph Library. It uses an oblivious message passing paradigm and a new oblivious graph representation built on function secret sharing, revealing only the total node and edge counts. On four benchmark graphs it cuts training communication up to 1024x with up to 14.3x speedup, and inference communication up to 754x with 4.19x speedup.

    eprint.iacr.orgpaperAdded 28 Oct 2026, published 27 Oct 2026🧠 AI

  28. Measuring Users' Security and Privacy Concerns About Third-Party Community Bots on Discord

    Measurement 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 2026πŸ›‘οΈ Security

  29. 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 2026πŸ›‘οΈ Security

  30. What Victims Take Away: Attack Reuse and Defense Revision after Prompt-Injection Attacks

    What 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 2026πŸ›‘οΈ Security

  31. Reva: Real-Time Vulnerability Detection through Contextual Probing of Large Language Models

    REVA (REal-time Vulnerability Analysis) is a vulnerability detector that puts a module threat model, lightweight static analysis findings and call-graph information into one LLM forward pass. A trained probe reads the model's internal representations of the new function. On PrimeVul's held-out test set, REVA on GLM-5.3-Flash reaches 60.0% accuracy in about one second per function, matching the agentic VulTriage (59.2%) at over 250 times the speed and under a tenth of the cost. The probe is 14% to 17% more accurate than the LLM's own verdict.

    arxiv.orgpaperAdded 28 Oct 2026, published 26 Oct 2026🧠 AI

  32. Reva: Real-Time Vulnerability Detection through Contextual Probing of Large Language Models

    REVA (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 2026πŸ›‘οΈ Security

  33. LINE-Break: Cryptanalysis and Reverse Engineering of Letter Sealing

    LINE-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 2026πŸ›‘οΈ Security

  34. 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 2026πŸ›‘οΈ Security

  35. Revisiting ZMAC+: Birthday-Bound Attacks and a Beyond-Birthday-Bound Repair

    ZMAC+ 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 2026πŸ›‘οΈ Security

  36. Then there is prompt injection, a malicious email, ...: The Wild Wide West of OpenClaw Agentic System Security

    An 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 2026πŸ›‘οΈ Security

  37. Non-profiled Single-Trace ML-DSA Secret Key Recovery by Horizontal Distribution Analysis

    Non-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 2026πŸ›‘οΈ Security

  38. 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 2026πŸ›‘οΈ Security

  39. Subexponential Algorithms for LWE via Rejection Sampling on Superlattices

    Subexponential 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 2026πŸ›‘οΈ Security

  40. Scope-Gap Injection: Exploiting Evaluator Channel Blind Spots in the OpenClaw Agent Security Competition

    Scope-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 2026πŸ›‘οΈ Security

  41. Addendum to GPT-6 Astra System Card: GPT-6.1 Terra

    Addendum 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 2026πŸ›‘οΈ Security

  42. Decision Attacks on Known-Covariance Ring-LWE via Public Gram Determinants

    Anis 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 2026πŸ›‘οΈ Security

  43. 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 2026πŸ›‘οΈ Security

  44. Revisiting AES Key Wrap: Forgery Bounds, Structural Observations, and Recommendations for the Revision of NIST SP 800-38F

    Revisiting 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 2026πŸ›‘οΈ Security

  45. A Kelsey–Kohno Attack Variant against SHA-2 Message Digests in HSS/LMS and XMSS

    Falko 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 2026πŸ›‘οΈ Security

  46. VeilDNS: Post-Quantum DNS Privacy from the First UDP Packet

    VeilDNS 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 2026πŸ›‘οΈ Security

  47. The Exact Bit Security of Hash-Based Signatures

    The 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 2026πŸ›‘οΈ Security

  48. Provable Security of SHA-256-Based LMS Revisited in the Ideal-Cipher Model

    Provable 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-DamgΓ₯rd 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 2026πŸ›‘οΈ Security

  49. Faster and Smaller Anonymous Credentials from Standardized Signatures

    GordieHowe 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 2026πŸ›‘οΈ Security

  50. Tight Post-Quantum Multi-Key Security of the FX Construction

    Rentaro 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+ΞΊ)/3) total classical and quantum oracle queries against fully adaptive adversaries, for any number of keyed instances ΞΌβ‰₯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 2026πŸ›‘οΈ Security

  51. F2G-Pose: Geometry-Aware Foundation Feature Lifting for Direct RGB-D Category-Level Object Pose Estimation

    F2G-Pose is a direct, single-pass framework that predicts category-level object pose, metric size and camera-frame completed shape from one RGB-D image. It lifts frozen RADIO foundation features onto partial point clouds, tokenizes local geometry with DGCNN, and fuses it with a Mixture-of-Experts Transformer. It trains only on synthetic SOPE data, leads on SOPE and ROPE at 28 FPS, and is tested on HouseCat6D, HANDAL and real manipulation.

    arxiv.orgpaperAdded 24 Oct 2026, published 22 Oct 2026🧠 AI

  52. Integer Coordinate Families and Threshold RSA Signatures for Any Prime Exponent

    Paper 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 2026πŸ›‘οΈ Security

  53. Linear Cryptanalysis of TFHE-Friendly Cipher FRAST in the Average Key Setting

    Linear 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 2026πŸ›‘οΈ Security

  54. SecLog-Bench: A Scalable Benchmark for Cybersecurity Log Reasoning with Scaffolded Evidence

    SecLog-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 2026πŸ›‘οΈ Security

  55. SecLog-Bench: A Scalable Benchmark for Cybersecurity Log Reasoning with Scaffolded Evidence

    SecLog-Bench is a benchmark for LLM reasoning over cybersecurity logs. A simulation platform with 29 attack scenarios generates audit logs, application logs and network traffic, with attack-stage labels and step-by-step evidence chains. Eight mainstream LLMs were tested on attack-progress reasoning: the best reached 44.44% accuracy, 45.07% Macro-F1 and 54.87% Stage Reasoning F1. Correct predictions often came with flawed reasoning.

    arxiv.orgpaperAdded 23 Oct 2026, published 22 Oct 2026🧠 AI

  56. Efficient Laconic Oblivious Transfer with Malicious Security

    Efficient 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 2026πŸ›‘οΈ Security

  57. Rerandomizable Garbling for Arithmetic Circuits

    Rerandomizable 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 2026πŸ›‘οΈ Security

  58. RingTrace: Model-Free Spatio-Temporal Detection and Core Attribution for Cache Side-Channels

    RingTrace is a monitoring framework that detects Flush+Reload cache side-channel attacks by combining per-core cache-miss counters with slice activity across uncore CBoxes. Its Joint Spatio-Temporal Attribution (JSTA) builds a joint-activity matrix without model training: the largest entry is the screening score and row sums point to a candidate core. The authors report detection before secret leakage, fewer false alarms under heavy memory load, and negligible runtime overhead on commodity processors.

    eprint.iacr.orgpaperAdded 24 Oct 2026, published 21 Oct 2026πŸ›‘οΈ Security

  59. SHAKEing SLH-DSA with Non-profiled SCAs

    SHAKEing SLH-DSA with Non-profiled SCAs is an eShard ePrint paper (2026/2584) on correlation power analysis of SLH-DSA-SHAKE, the NIST-standardised hash-based signature scheme. It analyses PRF inputs and selection functions, then combines subtrace averaging, partial-then-total CPA and an efficient exhaustive search to recover the full secret seed, enabling universal forgery. On a 32-bit microcontroller the attack needs about 280 to 559 signatures, and the search finishes within 45 minutes on 72 cores.

    eprint.iacr.orgpaperAdded 24 Oct 2026, published 21 Oct 2026πŸ›‘οΈ Security

  60. Rounded Gaussians are Discrete Gaussians

    Rounded Gaussians are Discrete Gaussians is an IACR ePrint paper (2026/2583) by Corentin Jeudy. It shows that setting the rounded Gaussian parameter to sigma = s - 1/(24s) gives a distribution within RΓ©nyi divergence 1 + O(1/s^8) of a discrete Gaussian of parameter s. Lattice schemes can then use the simple, constant-time-friendly, low-memory rounded sampler while analyzing security against an ideal discrete Gaussian.

    eprint.iacr.orgpaperAdded 24 Oct 2026, published 21 Oct 2026πŸ›‘οΈ Security

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