3 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CR2024★ 3 cited
PAPILLON: Efficient and Stealthy Fuzz Testing-Powered Jailbreaks for LLMs
Xueluan Gong, Mingzhe Li, Yilin Zhang +5
Large Language Models (LLMs) have excelled in various tasks but are still vulnerable to jailbreaking attacks, where attackers create jailbreak prompts to mislead the model to produ…
cs.CV2023★ 2 cited
Backdoor Attack with Sparse and Invisible Trigger
Yinghua Gao, Yiming Li, Xueluan Gong +3
Deep neural networks (DNNs) are vulnerable to backdoor attacks, where the adversary manipulates a small portion of training data such that the victim model predicts normally on the…
cs.SD2023★ 2 cited
Catch You and I Can: Revealing Source Voiceprint Against Voice Conversion
Jiangyi Deng, Yanjiao Chen, Yinan Zhong +3
Voice conversion (VC) techniques can be abused by malicious parties to transform their audios to sound like a target speaker, making it hard for a human being or a speaker verifica…