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New benchmark reveals AI agents vulnerable to skill-based attacks

By PulseAugur Editorial · [1 sources] ·

Researchers have developed SkillHarm, a new benchmark designed to test the security of AI agents by evaluating skill-based attacks throughout their lifecycle. The benchmark includes automated methods for constructing poisoned skills, demonstrating significant vulnerabilities in current agents with attack success rates reaching up to 86.3%. The findings highlight that many apparent defense successes are due to agents not engaging with the poisoned files, indicating current defenses are insufficient. AI

IMPACT Highlights critical security flaws in AI agents, necessitating improved defenses for reliable agent deployment.

RANK_REASON The cluster contains an academic paper introducing a new benchmark and methodology. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New benchmark reveals AI agents vulnerable to skill-based attacks

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The cluster contains an academic paper introducing a new benchmark and methodology. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    SkillHarm: Lifecycle-Aware Skill-Based Attacks via Automated Construction

    SkillHarm is a benchmark for evaluating skill-based attacks across the skill-use lifecycle, demonstrating significant vulnerabilities in current agents with attack success rates up to 86.3%.

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