newsArs Technica AITrust 88 · LabPublished 1mo agoLive · 1mo ago
"Dangerous" AI models are coming no matter what
AI models with advanced hacking capabilities will soon be the norm.
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Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- LinkedLinked via unknownVerisight →
- LinkedLinked via unknownEvalSafetyGap: A Hybrid Survey and Conceptual Framework for LLM Evaluation-Safety Failures →
- PossiblePossibly related (embedding) · 57%Behind the Refusal: Determining Guardrail Activation via Behavioral Monitoring →
- PossiblePossibly related (embedding) · 60%Overview of Risk Assessment and Management for Intelligent Systems under the AI Act and Beyond →
- PossiblePossibly related (embedding) · 53%TalEliyahu/Awesome-AI-Security →
- PossiblePossibly related (embedding) · 50%anmolksachan/AI-ML-Free-Resources-for-Security-and-Prompt-Injection →
- PossiblePossibly related (embedding) · 62%Harmonizing AI Safety Thresholds →
Covers
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paperEvalSafetyGap: A Hybrid Survey and Conceptual Framework for LLM Evaluation-Safety FailurespaperA Lifecycle and Application-Stack Survey of Large Language Model Vulnerabilities: Attacks, Risks, Defenses, and Open ProblemspaperBehind the Refusal: Determining Guardrail Activation via Behavioral MonitoringpaperOverview of Risk Assessment and Management for Intelligent Systems under the AI Act and BeyondrepoTalEliyahu/Awesome-AI-Securityrepoanmolksachan/AI-ML-Free-Resources-for-Security-and-Prompt-InjectionpaperHarmonizing AI Safety ThresholdspaperThe safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems
Related across the graph
paperOverview of Risk Assessment and Management for Intelligent Systems under the AI Act and BeyondpaperBehind the Refusal: Determining Guardrail Activation via Behavioral MonitoringpaperEvalSafetyGap: A Hybrid Survey and Conceptual Framework for LLM Evaluation-Safety FailurespaperThe safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systemsrepoTalEliyahu/Awesome-AI-Securityrepoanmolksachan/AI-ML-Free-Resources-for-Security-and-Prompt-InjectionpaperA Lifecycle and Application-Stack Survey of Large Language Model Vulnerabilities: Attacks, Risks, Defenses, and Open ProblemspaperHarmonizing AI Safety ThresholdscompanyVerisight