neurips-adaptive-adversaries/adaptive-adversaries-data

Adaptive Adversaries: A Multi-Turn, Multi-LLM Benchmark for LLM Agent Security A 21-scenario multi-turn (15-round) adversarial red-teaming benchmark for LLM agents, in which both attacker and defender are independent LLM agents and attacks are regenerated per battle. Includes calibrated 3×3 attacker × defender matrix evaluation, full battle transcripts, attack-replay corpus, and traces from two open AgentBeats competitions. Companion paper: Adaptive Adversaries: A Multi-Turn… See the full description on the dataset page: https://huggingface.co/datasets/neurips-adaptive-adversaries/adaptive-adv

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