Mateusz Dziemian's picture

Mateusz Dziemian

mattmdjaga

AI & ML interests

Interested in AI safety.

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mattmdjaga/segformer_b2_clothes:aaa
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2088
šŸšØ Gray Swan AI's Biggest AI Jailbreaking Arena Yet! $130K+ šŸšØ

šŸ”¹ Agent Red-Teaming Challenge ā€“ test direct & indirect attacks on anonymous frontier models!
šŸ”¹ $130K+ in prizes & giveaways ā€“ co-sponsored by OpenAI & supported by UK AI Security Institute šŸ‡¬šŸ‡§
šŸ”¹ March 8 ā€“ April 6 ā€“ fresh exploits = fresh rewards!

How It Works:
āœ… Anonymous models from top providers šŸ¤
āœ… Direct & indirect prompt injection paths šŸ”„
āœ… Weekly challenges for new behaviors šŸ—“ļø
āœ… Speed & quantity-based rewards ā©šŸ’°

Why Join?
āš–ļø Neutral judging ā€“ UK AISI & automated judges ensure fairness
šŸŽÆ No pre-trained defenses ā€“ a true red-teaming battlefield
šŸ’» 5 Apple laptops up for grabs ā€“ increase chances by inviting friends!

šŸ”— Arena: app.grayswan.ai/arena/challenge/agent-red-teaming
šŸ”— Discord: discord.gg/grayswanai

šŸ”„ No illusions, no mercy. Push AI agents to the limit & claim your share of $130K+! šŸš€
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2007
šŸšØ New Agent Benchmark šŸšØ
AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents

ai-safety-institute/AgentHarm

Collaboration between UK AI Safety Institute and Gray Swan AI to create a dataset for measuring harmfulness of LLM agents.

The benchmark contains both harmful and benign sets of 11 categories with varied difficulty levels and detailed evaluation, not only testing success rate but also tool level accuracy.

We provide refusal and accuracy metrics across a wide range of models in both no attack and prompt attack scenarios.

AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents (2410.09024)