Reward Stealing Attack on Large Language Models
Adversarial attacks on Large Language Models (LLMs) aim to induce harmful content. However, existing methods suffer from high computational costs or strict model-pairing dependencies, limiting their scalability and transferability. We propose Reward Stealing Attack (ReSA), an adversarial attack framework that targets t...
Jia-Ming Qian, Peng-Yang Zhou, Jia-He Xu et al.
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