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This https://arxiv.org/abs/2502.18504 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

TurboFuzzLLM: Turbocharging Mutation-based Fuzzing for Effectively Jailbreaking Large Language Models in Practice
Jailbreaking large-language models (LLMs) involves testing their robustness against adversarial prompts and evaluating their ability to withstand prompt attacks that could elicit unauthorized or malicious responses. In this paper, we present TurboFuzzLLM, a mutation-based fuzzing technique for efficiently finding a collection of effective jailbreaking templates that, when combined with harmful questions, can lead a target LLM to produce harmful responses through black-box access via user prompt…

How the Book of Revelation Shaped American Immigration with Dr. Yii-Jan Lin, YDS Professor of New Testament.
https://youtu.be/EPEuz8uX0Ac?si=zl2G6ItryoF9UPRS