7 papers
Learning to Evade: Adaptive Attacks on Audio Watermarking
Weikang Ding, Hanqing Guo, Rui Duan +4
Advances in generative audio have intensified copyright concerns, making audio watermarking increasingly important for asserting ownership. However, existing audio watermarking met…
ClearMask: Noise-Free and Naturalness-Preserving Protection Against Voice Deepfake Attacks
Yuanda Wang, Bocheng Chen, Hanqing Guo +3
Voice deepfake attacks, which artificially impersonate human speech for malicious purposes, have emerged as a severe threat. Existing defenses typically inject noise into human spe…
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Guangjing Wang, Ce Zhou, Yuanda Wang +3
As Artificial Intelligence (AI) systems increasingly underpin critical applications, from autonomous vehicles to biometric authentication, their vulnerability to transferable attac…
SoK: How Robust is Audio Watermarking in Generative AI models?
Yizhu Wen, Ashwin Innuganti, Aaron Bien Ramos +2
Audio watermarking is increasingly used to verify the provenance of AI-generated content, enabling applications such as detecting AI-generated speech, protecting music IP, and defe…
DYNASHIELD: A Black-Box Moving Target Defense for LLMs via Dynamic Decoding Customization
Bocheng Chen, Xiaoqun Liu, Hanqing Guo +2
Large language models (LLMs) remain vulnerable to jailbreak attacks in which adversarial prompts induce harmful outputs. Existing defenses often require access to the model interna…
Optical Lens Attack on Monocular Depth Estimation for Autonomous Driving
Ce Zhou, Qiben Yan, Daniel Kent +4
Monocular Depth Estimation (MDE) is a pivotal component of vision-based Autonomous Driving (AD) systems, enabling vehicles to estimate the depth of surrounding objects using a sing…