newsGoogle News — LLMTrust 62 · AggregatorPublished 1mo agoLive · 1mo ago
FreeBSoD: Leveraging Language Models to Find and Exploit Kernel Bugs (Part 2 of 2) - Security Boulevard
FreeBSoD: Leveraging Language Models to Find and Exploit Kernel Bugs (Part 2 of 2) Security Boulevard
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 60%huhusmang/Awesome-LLMs-for-Vulnerability-Detection →
- PossiblePossibly related (embedding) · 59%A Lifecycle and Application-Stack Survey of Large Language Model Vulnerabilities: Attacks, Risks, Defenses, and Open Problems →
- PossiblePossibly related (embedding) · 51%mozilla/bugbug →
- PossiblePossibly related (embedding) · 49%Words Speak Louder Than Code: Investigating Cognitive Heuristics in LLM-Based Code Vulnerability Detection →
- PossiblePossibly related (embedding) · 47%PacificAI/langtest →
- PossiblePossibly related (embedding) · 46%Kobshobe/qy_translate →
- PossiblePossibly related (embedding) · 46%raphaelmansuy/code2prompt →
- PossiblePossibly related (embedding) · 47%Silent Alarm: A J-Space Protocol for Comparing Danger Recognition Across Models and Quantization Levels →
Covers
repohuhusmang/Awesome-LLMs-for-Vulnerability-DetectionpaperA Lifecycle and Application-Stack Survey of Large Language Model Vulnerabilities: Attacks, Risks, Defenses, and Open Problemsrepomozilla/bugbugpaperWords Speak Louder Than Code: Investigating Cognitive Heuristics in LLM-Based Code Vulnerability DetectionrepoPacificAI/langtest
Covers (incoming)
repoKobshobe/qy_translatereporaphaelmansuy/code2promptpaperSilent Alarm: A J-Space Protocol for Comparing Danger Recognition Across Models and Quantization LevelspaperHow Jailbreak Attacks Inform Safety Alignment: A Defender-Centric, Shapley-Based Evaluation of Jailbreak Contributionsrepoguoqingbao/attention.rspaperAutomated Compliance Mapping in Cloud Security with Domain-Adapted Sentence TransformerspaperSmall, Free, and Effective: Orchestrating Open-Weight Small Language Models to Outperform Single LLM for Malware Analysis
Related across the graph
paperHow Jailbreak Attacks Inform Safety Alignment: A Defender-Centric, Shapley-Based Evaluation of Jailbreak ContributionspaperAutomated Compliance Mapping in Cloud Security with Domain-Adapted Sentence TransformerspaperWords Speak Louder Than Code: Investigating Cognitive Heuristics in LLM-Based Code Vulnerability Detectionrepoguoqingbao/attention.rsrepomozilla/bugbugreporaphaelmansuy/code2promptrepoKobshobe/qy_translatepaperSilent Alarm: A J-Space Protocol for Comparing Danger Recognition Across Models and Quantization Levelsrepohuhusmang/Awesome-LLMs-for-Vulnerability-DetectionrepoPacificAI/langtestpaperA Lifecycle and Application-Stack Survey of Large Language Model Vulnerabilities: Attacks, Risks, Defenses, and Open ProblemspaperSmall, Free, and Effective: Orchestrating Open-Weight Small Language Models to Outperform Single LLM for Malware Analysis
