Saga: Source Attribution of Generative AI Videos (identifies the model used)
Computer Science > Computer Vision and Pattern Recognition arXiv:2511.12834 (cs) [Submitted on 16 Nov 2025 (v1), last revised 2 Apr 2026 (this version, v2)] Title:SAGA: Source Attribution of Generative AI Videos Authors:Rohit Kundu, Vishal Mohanty, Hao Xiong, Shan Jia, Athula Balachandran, Amit K. Roy-Chowdhury View a PDF of the paper titled SAGA: Source Attribution of Generative AI Videos, by Rohit Kundu and 5 other authors View PDF HTML (experimental) Abstract:The proliferation of generative AI has led to hyper-realistic synthetic videos, escalating misuse risks and outstripping binary real/fake detectors. We introduce SAGA (Source Attribution of Generative AI videos), the first comprehensive framework to address the urgent need for AI-generated video source attribution at a large scale.
- ▪Computer Science > Computer Vision and Pattern Recognition arXiv:2511.12834 (cs) [Submitted on 16 Nov 2025 (v1), last revised 2 Apr 2026 (this version, v2)] Title:SAGA: Source Attribution of Generative AI Videos Authors:Rohit Kundu, Vishal
- ▪Roy-Chowdhury View a PDF of the paper titled SAGA: Source Attribution of Generative AI Videos, by Rohit Kundu and 5 other authors View PDF HTML (experimental) Abstract:The proliferation of generative AI has led to hyper-realistic synthetic
- ▪We introduce SAGA (Source Attribution of Generative AI videos), the first comprehensive framework to address the urgent need for AI-generated video source attribution at a large scale.
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Computer Science > Computer Vision and Pattern Recognition arXiv:2511.12834 (cs) [Submitted on 16 Nov 2025 (v1), last revised 2 Apr 2026 (this version, v2)] Title:SAGA: Source Attribution of Generative AI Videos Authors:Rohit Kundu, Vishal Mohanty, Hao Xiong, Shan Jia, Athula Balachandran, Amit K. Roy-Chowdhury View a PDF of the paper titled SAGA: Source Attribution of Generative AI Videos, by Rohit Kundu and 5 other authors View PDF HTML (experimental) Abstract:The proliferation of generative AI has led to hyper-realistic synthetic videos, escalating misuse risks and outstripping binary real/fake detectors.
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