This paper investigates the complexities of ChatGPT jailbreak strategies, including emerging vulnerabilities and advanced methodologies developed to assess their effectiveness.
In a digital age dominated by the rapid evolution of artificial intelligence, led by ChatGPT, the recent surge in ChatGPT jailbreak attempts has sparked a critical debate about the robustness of AI systems and the unanticipated consequences these breaches pose to cybersecurity and ethical AI use. A recent research paper titled "AttackEval: How to Evaluate the Effectiveness of Jailbreak Attacking on Large Language Models" introduced a novel approach to assessing the effectiveness of jailbreak attacks on Large Language Models (LLMs) such as GPT-4 and LLaMa2. This study deviates from traditional evaluations focused on robustness by providing two distinct frameworks: a coarse-grained evaluation and a fine-grained
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