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byerlikaya
Attacker's-eye test of LLM/agent defenses: instruction hijacking, data exfiltration and tool abuse through untrusted content; verifies whether the defense actually holds.
OPENAGENTSKILL / DIRECTORY
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Attacker's-eye test of LLM/agent defenses: instruction hijacking, data exfiltration and tool abuse through untrusted content; verifies whether the defense actually holds.
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Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
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The machine learning toolkit for time series analysis in Python
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Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.
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AI Agent Evaluator & Red Team Platform