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Download README.md from MatanBT/JBRL-robustness-eval: direct link, hf CLI and curl.
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metadata
license: other
language:
- en
tags:
- red-teaming
- jailbreak
- robustness
- defensive-security
- CBRN
configs:
- config_name: sampled
data_files: sampled/responses.jsonl
- config_name: greedy
data_files: greedy/responses.jsonl
extra_gated_prompt: >-
Access is restricted to authorized defensive-security research. This dataset
contains harmful (CBRN) elicitation prompts and successful jailbreak
responses. By requesting access you agree to use it solely for evaluating and
improving model safety.
JBRL robustness eval
Robustness of defended chat models against our RL-trained red-teamer, on the full ClearHarm held-out set
(179 CBRN prompts). Two configs: sampled (victim temp 1.0, real-world) and greedy (victim temp 0.0).
Each: per-response rows + summary.json (per attacker x victim x judge: ASR / pass@k / attacker_lift).
Judges: HarmBench-13b, StrongREJECT (Qwen2.5-32B), Llama-Guard-3-8B, + ensemble. Attackers: JBRL-v1–v5
(v1–v4 single-turn, v5 multi-turn) — identical 7-victim panel across all versions for comparability.
Authorized defensive research only; access-controlled.