2 citations · 4 across the 6 of their papers we have counts for
8 papers
Differentially Private and Communication Efficient Large Language Model Split Inference via Stochastic Quantization and Soft Prompt
Yujie Gu, Richeng Jin, Xiaoyu Ji +2
Large Language Models (LLMs) have achieved remarkable performance and received significant research interest. The enormous computational demands, however, hinder the local deployme…
Phantom Menace: Exploring and Enhancing the Robustness of VLA Models Against Physical Sensor Attacks
Xuancun Lu, Jiaxiang Chen, Shilin Xiao +7
Vision-Language-Action (VLA) models revolutionize robotic systems by enabling end-to-end perception-to-action pipelines that integrate multiple sensory modalities, such as visual s…
SoK: Understanding the Fundamentals and Implications of Sensor Out-of-band Vulnerabilities
Shilin Xiao, Wenjun Zhu, Yan Jiang +5
Sensors are fundamental to cyber-physical systems (CPS), enabling perception and control by transducing physical stimuli into digital measurements. However, despite growing researc…
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…
POEX: Towards Policy Executable Jailbreak Attacks Against the LLM-based Robots
Xuancun Lu, Zhengxian Huang, Xinfeng Li +3
The integration of LLMs into robots has witnessed significant growth, where LLMs can convert instructions into executable robot policies. However, the inherent vulnerability of LLM…
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…