arXiv AI
DF-MoE: Generalizable Deepfake Detection via Multimodal Sparse Mixture-of-Experts
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arXiv AI
Jun 29
Deepfake Media Generation and Detection in the Generative AI Era: A Survey and Outlook
arXiv:2411. 19537v2 Announce Type: replace-cross Abstract: We survey deepfake generation and detection techniques, covering all deepfake media types: image, video, audio and multimodal content.
arXiv AI
Jun 16
Teacher-Student Structure for Domain Adaptation in Ensemble Audio-Visual Video Deepfake Detection
arXiv:2606. 15117v1 Announce Type: cross Abstract: The rapid advancement of generative AI models is leading to more realistic deepfake media, encompassing the manipulation of audio, video, or both.
Hugging Face Trending Papers
Jun 13
Teacher-Student Structure for Domain Adaptation in Ensemble Audio-Visual Video Deepfake Detection
The rapid advancement of generative AI models is leading to more realistic deepfake media, encompassing the manipulation of audio, video, or both. This raises severe privacy and societal concerns.
arXiv AI
3d ago
Lightweight Generalized DeepFake Face Detection with WAVIE: Wavelet Augmented Vision Intermediate Embeddings
arXiv:2609.14437v1 Announce Type: cross Abstract: Deepfake detection systems often exhibit significant performance degradation when deployed on unseen manipulation methods, limiting their reliability...
arXiv Computer Vision
4d ago
Beyond Ambiguous Visual Cues: Studying Physiological Disruptions and Cross-Modal Inconsistencies in Deepfake Videos
arXiv:2609.12668v1 Announce Type: new Abstract: Recent deepfake detection studies increasingly suggest remote photoplethysmography (rPPG) signals as an authenticity cue. However, existing benchmarks...
arXiv AI
Aug 11
MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection
arXiv:2608. 09593v1 Announce Type: cross Abstract: Recent advances in speech synthesis and audio generation have made high-fidelity acoustic forgery low-cost and difficult to attribute, enabling a realistic attack scenario in which speech and background audio are independently manipulated over otherwise authentic video.