1 citations · 2 across the 6 of their papers we have counts for
6 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…
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…
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…
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…