1 citations · 3 across the 5 of their papers we have counts for
9 papers
Poster: Exploring the Limits of Audio-Based Detection of Turkish Phone Call Scams
Arda Eren, Micheal Cheung, Youqian Zhang +2
Scam phone calls exploit vulnerable communities worldwide, yet research on detection has focused almost exclusively on English and other high-resource languages. In low-resource se…
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…
Rainbow Artifacts from Electromagnetic Signal Injection Attacks on Image Sensors
Youqian Zhang, Xinyu Ji, Zhihao Wang +1
Image sensors are integral to a wide range of safety- and security-critical systems, including surveillance infrastructure, autonomous vehicles, and industrial automation. These sy…
"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,…
Combating Phone Scams with LLM-based Detection: Where Do We Stand?
Zitong Shen, Kangzhong Wang, Youqian Zhang +2
Phone scams pose a significant threat to individuals and communities, causing substantial financial losses and emotional distress. Despite ongoing efforts to combat these scams, sc…