5 papers
A Simulation Framework for Electromagnetic Signal Injection Attacks on Image Sensors
Youqian Zhang, MK Michael Cheung, Chunxi Yang +6
Image sensors are fundamental to many intelligent systems, allowing visual perception and AI-driven decision-making. However, their integrity can be compromised by electromagnetic…
One Size Fits All? A Modular Adaptive Sanitization Kit (MASK) for Customizable Privacy-Preserving Phone Scam Detection
Kangzhong Wang, Zitong Shen, Youqian Zhang +4
Phone scams remain a pervasive threat to both personal safety and financial security worldwide. Recent advances in large language models (LLMs) have demonstrated strong potential i…
CMIS-Net: A Cascaded Multi-Scale Individual Standardization Network for Backchannel Agreement Estimation
Yuxuan Huang, Kangzhong Wang, Eugene Yujun Fu +2
Backchannels are subtle listener responses, such as nods, smiles, or short verbal cues like "yes" or "uh-huh," which convey understanding and agreement in conversations. These sign…
"It Warned Me Just at the Right Moment": Exploring LLM-based Real-time Detection of Phone Scams
Zitong Shen, Sineng Yan, Youqian Zhang +3
Despite living in the era of the internet, phone-based scams remain one of the most prevalent forms of scams. These scams aim to exploit victims for financial gain, causing both mo…
Is Your Autonomous Vehicle Safe? Understanding the Threat of Electromagnetic Signal Injection Attacks on Traffic Scene Perception
Wenhao Liao, Sineng Yan, Youqian Zhang +3
Autonomous vehicles rely on camera-based perception systems to comprehend their driving environment and make crucial decisions, thereby ensuring vehicles to steer safely. However,…