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A Multi-Stage Adversarial Framework for Compact and Effective Jailbreaking of Large Language Models

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Summary

Researchers introduce ComJail, a compression-aware adversarial framework that jointly optimizes jailbreak prompt generation and compression in a generator-discriminator setup. On AdvBench and JailbreakBench, it reports 74% ASR on GPT-4 and 88% on Gemini-Pro, and remains effective on DeepSeek-V3, DeepSeek-R1, Vicuna-7B, and LLaMA2-13B with shorter prompts.