2 citations · 2 across the 6 of their papers we have counts for
6 papers
LoCC: Detection and Localization of Lip-Syncing Deepfakes via Counterfactual Frame Consistency
Soumyya Kanti Datta, Shan Jia, Siwei Lyu
Lip-syncing deepfakes are among the most challenging forms of manipulated media because their artifacts are localized almost exclusively to the mouth region and evolve dynamically…
DeepfakeBench-MM: A Comprehensive Benchmark for Multimodal Deepfake Detection
Kangran Zhao, Yupeng Chen, Xiaoyu Zhang +8
The misuse of advanced generative AI models has resulted in the widespread proliferation of falsified data, particularly forged human-centric audiovisual content, which poses subst…
PIA: Deepfake Detection Using Phoneme-Temporal and Identity-Dynamic Analysis
Soumyya Kanti Datta, Tanvi Ranga, Chengzhe Sun +1
The rise of manipulated media has made deepfakes a particularly insidious threat, involving various generative manipulations such as lip-sync modifications, face-swaps, and avatar-…
Detecting Lip-Syncing Deepfakes: Vision Temporal Transformer for Analyzing Mouth Inconsistencies
Soumyya Kanti Datta, Shan Jia, Siwei Lyu
Deepfakes are AI-generated media in which the original content is digitally altered to create convincing but manipulated images, videos, or audio. Among the various types of deepfa…
DeepFake-O-Meter v2.0: An Open Platform for DeepFake Detection
Yan Ju, Chengzhe Sun, Shan Jia +7
Deepfakes, as AI-generated media, have increasingly threatened media integrity and personal privacy with realistic yet fake digital content. In this work, we introduce an open-sour…
Exposing Lip-syncing Deepfakes from Mouth Inconsistencies
Soumyya Kanti Datta, Shan Jia, Siwei Lyu
A lip-syncing deepfake is a digitally manipulated video in which a person's lip movements are created convincingly using AI models to match altered or entirely new audio. Lip-synci…