3 citations · 3 across the 4 of their papers we have counts for
6 papers
Expose Your Disguise: Recovering Source Speaker Identity From Voice Conversion
Hanlei Zhang, Zhongming Ma, Mingyang Zhang +3
Voice conversion (VC) poses a significant threat to biometric security by allowing attackers to impersonate target speakers. In forensic contexts, recovering the source speaker's i…
PINA: Prompt Injection Attack against Navigation Agents
Jiani Liu, Yixin He, Lanlan Fan +5
Navigation agents powered by large language models (LLMs) convert natural language instructions into executable plans and actions. Compared to text-based applications, their securi…
Attention is All You Need to Defend Against Indirect Prompt Injection Attacks in LLMs
Yinan Zhong, Qianhao Miao, Yanjiao Chen +3
Large Language Models (LLMs) have been integrated into many applications (e.g., web agents) to perform more sophisticated tasks. However, LLM-empowered applications are vulnerable…
Exploring Adversarial Robustness of LiDAR-Camera Fusion Model in Autonomous Driving
Bo Yang, Xiaoyu Ji, Zizhi Jin +2
Our study assesses the adversarial robustness of LiDAR-camera fusion models in 3D object detection. We introduce an attack technique that, by simply adding a limited number of phys…
CamPro: Camera-based Anti-Facial Recognition
Wenjun Zhu, Yuan Sun, Jiani Liu +3
The proliferation of images captured from millions of cameras and the advancement of facial recognition (FR) technology have made the abuse of FR a severe privacy threat. Existing…
TPatch: A Triggered Physical Adversarial Patch
Wenjun Zhu, Xiaoyu Ji, Yushi Cheng +2
Autonomous vehicles increasingly utilize the vision-based perception module to acquire information about driving environments and detect obstacles. Correct detection and classifica…