Jailbreaking LLMs Without Gradients or Priors: Effective and Transferable Attacks

Zhakshylyk Nurlanov, Frank R. Schmidt, Florian Bernard

As Large Language Models (LLMs) are increasingly deployed in safety-critical domains, rigorously evaluating their robustness against adversarial jailbreaks is essential. However, c…