Activity Feed

AI & ML interests

None defined yet.

Recent Activity

mattmdjagaĀ 
posted an update 9 months ago
view post
Post
3635
🚨 Gray Swan AI's Biggest AI Jailbreaking Arena Yet! $130K+ 🚨

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

How It Works:
āœ… Anonymous models from top providers 🤐
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 – UK AISI & automated judges ensure fairness
šŸŽÆ No pre-trained defenses – a true red-teaming battlefield
šŸ’» 5 Apple laptops up for grabs – 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€
mattmdjagaĀ 
posted an update about 1 year ago
view post
Post
3303
🚨 New Agent Benchmark 🚨
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)