471 citations · 801 across the 16 of their papers we have counts for
16 papers
Mitigating Adversarial Gray-Box Attacks Against Phishing Detectors
Giovanni Apruzzese, V. S. Subrahmanian
Although machine learning based algorithms have been extensively used for detecting phishing websites, there has been relatively little work on how adversaries may attack such "phi…
Deception Detection in Group Video Conversations using Dynamic Interaction Networks
Srijan Kumar, Chongyang Bai, V. S. Subrahmanian +1
Detecting groups of people who are jointly deceptive in video conversations is crucial in settings such as meetings, sales pitches, and negotiations. Past work on deception in vide…
M2P2: Multimodal Persuasion Prediction using Adaptive Fusion
Chongyang Bai, Haipeng Chen, Srijan Kumar +2
Identifying persuasive speakers in an adversarial environment is a critical task. In a national election, politicians would like to have persuasive speakers campaign on their behal…
BB_Evac: Fast Location-Sensitive Behavior-Based Building Evacuation
Subhra Mazumdar, Arindam Pal, Francesco Parisi +1
Past work on evacuation planning assumes that evacuees will follow instructions -- however, there is ample evidence that this is not the case. While some people will follow instruc…
Automatic Long-Term Deception Detection in Group Interaction Videos
Chongyang Bai, Maksim Bolonkin, Judee Burgoon +5
Most work on automated deception detection (ADD) in video has two restrictions: (i) it focuses on a video of one person, and (ii) it focuses on a single act of deception in a one o…
Deception Detection in Videos
Zhe Wu, Bharat Singh, Larry S. Davis +1
We present a system for covert automated deception detection in real-life courtroom trial videos. We study the importance of different modalities like vision, audio and text for th…