SBERT+LR
Named by 2 kept items in this workspace.
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Best-performing semantic classification method evaluated (91.7% accuracy, 0.908 macro-F1) as a pluggable component of MemSentry.
Semantic classification approach evaluated; achieved best overall performance (91.7% accuracy, 0.908 macro-F1) for classifying memory-write content risk
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