The paper reports that GCG attack success drops with model size, prefix-based metrics overestimate harm, and coding prompts are more vulnerable, but these findings rest on a small model set and a GPT-4o pipeline that generates and judges prompts.
Logan IV, Eric Wallace, and Sameer Singh
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The Resurgence of GCG Adversarial Attacks on Large Language Models
The paper reports that GCG attack success drops with model size, prefix-based metrics overestimate harm, and coding prompts are more vulnerable, but these findings rest on a small model set and a GPT-4o pipeline that generates and judges prompts.