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Reading papers together on deepfake detection

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Reading group

  • What: Reading papers together on deepfake detection.
  • When: Friday (odd weeks) 2 pm EET
  • Where: Online
  • Other:

Current schedule

date presenter paper
2024-05-22 Dan Boyd, Aidan, et al. The value of AI guidance in human examination of synthetically-generated faces. AAAI, 2023.
2024-05-08 Adriana Yu, Zhiyuan, Shixuan Zhai, and Ning Zhang. AntiFake: Using adversarial audio to prevent unauthorized speech synthesis. ACM SIGSAC Conference on Computer and Communications Security. 2023.
2024-04-12 Spiros Jia, Shan, Xin Li, and Siwei Lyu. Model attribution of face-swap deepfake videos. ICIP, 2022.
2024-03-29 Gabi Müller, Nicolas M., Franziska Dieckmann, and Jennifer Williams. Attacker attribution of audio deepfakes. Interspeech, 2022.
2024-03-15 Eli Zhang, Yue, et al. Common Sense Reasoning for Deep Fake Detection. arXiv preprint arXiv:2402.00126 (2024).
2024-02-02 Ștefan Nguyen, Dat, et al. LAA-Net: Localized Artifact Attention Network for High-Quality Deepfakes Detection. arXiv preprint arXiv:2401.13856 (2024).
2024-01-19 Octav Cai, Zexin, and Ming Li. Integrating frame-level boundary detection and deepfake detection for locating manipulated regions in partially spoofed audio forgery attacks. Computer Speech & Language 85 (2024): 101597.
2023-12-08 Adriana Cai, Zhixi, et al. AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake Dataset arXiv preprint arXiv:2311.15308 (2023).
2023-11-24 Dan Feng, Chao, Ziyang Chen, and Andrew Owens. Self-Supervised Video Forensics by Audio-Visual Anomaly Detection. CVPR. 2023.
2023-11-10 Ema Liang, Jiahao, et al. Exploring disentangled content information for face forgery detection. ECCV, 2022
2023-10-27 Eli Yan, Zhiyuan, et al. UCF: Uncovering common features for generalizable deepfake detection. ICCV, 2023

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Reading papers together on deepfake detection

License:MIT License