EasyJailbreak: A Unified Machine Learning Framework for Enhancing LLM Security by Simplifying Jailbreak Attack Creation and Assessment Against Emerging Threats

Jailbreak attacks are vital for uncovering and addressing security flaws in LLMs, as they aim to bypass protective measures and produce prohibited outputs. However, the absence of a standardized framework for implementing these attacks hampers thorough security assessments, given the diverse array of methods available. Despite the remarkable progress of LLMs in natural language processing, […]

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