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AutoDAN on HarmBench

AutoDAN on HarmBench

6.25Attack Success RateSafeLM

Updated 4mo ago

Evaluation results

Method	Links
SafeLM2026.06		6.25
Baseline2026.06		4.75
SRP2026.06		1.25

State-of-the-art paper

SafeLM

Safety Pretraining: Toward the Next Generation of Safe AI

Dataset

HarmBench

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Related benchmarks

Finetuning Attack Success on GSM8K (benign)Finetuning Attack Success on Harmful HEx-PHI (adversarial)Prefill Attack on HEx-PHI Harmful General Knowledge and Language Comprehension on ARC-Easy, ARC-Challenge, CommonsenseQA, HellaSwag, OpenBookQA, PIQA Instruction Following on IFEval (strict and loose scores)

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