PatchLens recovers compact Boolean predicates (VICs) over configuration options for vulnerabilities from patch analysis in C/C++ systems, showing most vulnerabilities affect only subsets of variants and CVE texts rarely encode the options.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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RESSAP creates a model-agnostic ensemble of classifiers using resilience-guided feature selection, random subset inference, and noise augmentation to boost robustness to evasion attacks while preserving clean accuracy.
citing papers explorer
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Automated Detection of Configuration-Specific Security Vulnerabilities via Patch Analysis
PatchLens recovers compact Boolean predicates (VICs) over configuration options for vulnerabilities from patch analysis in C/C++ systems, showing most vulnerabilities affect only subsets of variants and CVE texts rarely encode the options.
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Robust Ensemble of Selectively Strengthened and Augmented Predictors
RESSAP creates a model-agnostic ensemble of classifiers using resilience-guided feature selection, random subset inference, and noise augmentation to boost robustness to evasion attacks while preserving clean accuracy.