1 citations · 4 across the 10 of their papers we have counts for
10 papers
Lightweight Detection of Electromagnetic Signal Injection Attacks on Image Sensors
Youqian Zhang, Chunxi Yang, Eugene Yujun Fu +3
Electromagnetic signal injection attacks (ESIA) pose a growing threat to image sensors, which are increasingly used in different intelligent systems. By emitting electromagnetic in…
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…
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,…
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…
Anti-ESIA: Analyzing and Mitigating Impacts of Electromagnetic Signal Injection Attacks
Denglin Kang, Youqian Zhang, Wai Cheong Tam +1
Cameras are integral components of many critical intelligent systems. However, a growing threat, known as Electromagnetic Signal Injection Attacks (ESIA), poses a significant risk…
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…
Understanding Impacts of Electromagnetic Signal Injection Attacks on Object Detection
Youqian Zhang, Chunxi Yang, Eugene Y. Fu +7
Object detection can localize and identify objects in images, and it is extensively employed in critical multimedia applications such as security surveillance and autonomous drivin…