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Setloop/LLM-Attack-Suite

LLM-Attack Suite — v2.0 In plain language Most "this defence works" claims can't be compared — every study measured something different. We built the ruler. LLM-Attack Suite is an open framework that forces privacy evaluations to say exactly what the attacker saw, what it knew, and what it was allowed to spend. Attacks replay the same recorded traffic, predictions are kept for independent re-scoring, and no defence can pass without a linked undefended reference.… See the full description on the dataset page: https://huggingface.co/datasets/Setloop/LLM-Attack-Suite.

Author / organizationSetloop
License (as declared)mit
Downloads151 (as reported by Hugging Face)
Likes5
Created16 September 2026
Last updated at source19 October 2026
privacysecuritysplit-learninglanguage-modelsreproducibilityresearch-artifacts
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