VERA: Variational Inference Framework for Jailbreaking Large Language Models 事件

VERA: Variational Inference Framework for Jailbreaking Large Language Models arXiv:2506.22666v3 Announce Type: replace-cross Abstract: The rise of API-only access to state-of-the-art LLMs highlights the need for effective black-box jailbreak methods to identify model vulnerabilities in real-world settings. Without a principled objective for gradient-based optimization, most existing approaches rely on genetic algorithms, which are limited by their initialization and dependence on manually curat