564 citations · 611 across the 21 of their papers we have counts for
7 papers · 1 filter
PowerRadio: Manipulate Sensor Measurementvia Power GND Radiation
Yan Jiang, Xiaoyu Ji, Yancheng Jiang +3
Sensors are key components enabling various applications, e.g., home intrusion detection and environmental monitoring. While various software defenses and physical protections are…
Easier Said Than Done: Unpacking Intent-Behavior Gap in Jailbreaking LLM-Based Robots
Xuancun Lu, Zhengxian Huang, Xinfeng Li +4
LLM-based robots use Large Language Models (LLMs) as planners to translate natural language instructions into policies such as grasp(), move_to(), and open_gripper(). Jailbreak att…
PhantomLiDAR: Cross-modality Signal Injection Attacks against LiDAR
Zizhi Jin, Qinhong Jiang, Xuancun Lu +3
LiDAR (Light Detection and Ranging) is a pivotal sensor for autonomous driving, offering precise 3D spatial information. Previous signal attacks against LiDAR systems mainly exploi…
ReThink: Reveal the Threat of Electromagnetic Interference on Power Inverters
Fengchen Yang, Zihao Dan, Kaikai Pan +3
With the boom of renewable energy sources (RES), the number of power inverters proliferates. Power inverters are the key electronic devices that transform the direct current (DC) p…
SafeEar: Content Privacy-Preserving Audio Deepfake Detection
Xinfeng Li, Kai Li, Yifan Zheng +3
Text-to-Speech (TTS) and Voice Conversion (VC) models have exhibited remarkable performance in generating realistic and natural audio. However, their dark side, audio deepfake pose…
SafeGen: Mitigating Sexually Explicit Content Generation in Text-to-Image Models
Xinfeng Li, Yuchen Yang, Jiangyi Deng +4
Text-to-image (T2I) models, such as Stable Diffusion, have exhibited remarkable performance in generating high-quality images from text descriptions in recent years. However, text-…
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…