5 papers
NCCR: to Evaluate the Robustness of Neural Networks and Adversarial Examples
Shi Pu, Fu Song, Wenjie Wang
Neural networks have received a lot of attention recently, and related security issues have come with it. Many studies have shown that neural networks are vulnerable to adversarial…
AudioJailbreak: Jailbreak Attacks against End-to-End Large Audio-Language Models
Guangke Chen, Fu Song, Zhe Zhao +7
Jailbreak attacks to Large audio-language models (LALMs) are studied recently, but they exclusively focused on the attack scenario where the adversary can fully manipulate user pro…
Verification of Bit-Flip Attacks against Quantized Neural Networks
Yedi Zhang, Lei Huang, Pengfei Gao +3
In the rapidly evolving landscape of neural network security, the resilience of neural networks against bit-flip attacks (i.e., an attacker maliciously flips an extremely small amo…
LaserGuider: A Laser Based Physical Backdoor Attack against Deep Neural Networks
Yongjie Xu, Guangke Chen, Fu Song +1
Backdoor attacks embed hidden associations between triggers and targets in deep neural networks (DNNs), causing them to predict the target when a trigger is present while maintaini…
SongBsAb: A Dual Prevention Approach against Singing Voice Conversion based Illegal Song Covers
Guangke Chen, Yedi Zhang, Fu Song +3
Singing voice conversion (SVC) automates song covers by converting a source singing voice from a source singer into a new singing voice with the same lyrics and melody as the sourc…