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Recent advancements in diffusion models have enabled the generation of realistic deepfakes from textual prompts in natural language.
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DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
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NVAE: A deep hierarchical variational autoencoder. In Advances in Neural Information Processing Systems
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Media forensics and deepfakes: an overview
Luisa Verdoliva. 2020 · 2020
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CNN-Generated Images Are Surprisingly Easy to Spot… for Now. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, and Alexei A Efros. 2020 · 2020
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Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen. 2022 · 2022
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High-Resolution Image Synthesis With Latent Diffusion Models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer. 2022 · 2022
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Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S Sara Mahdavi, Rapha Gontijo Lopes, Tim Salimans, Jonathan Ho, David J Fleet, and Mohammad Norouzi. 2022 · 2022
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LAION-5B: An open large-scale dataset for training next generation image-text models. In Advances in Neural Information Processing Systems
Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, Patrick Schramowski, Srivatsa Kundurthy, Katherine Crowson, Ludwig Schmidt, Robert Kaczmarczyk, and Jenia Jitsev. 2022 · 2022
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Wavelet-packets for deepfake image analysis and detection
Moritz Wolter, Felix Blanke, Raoul Heese, and Jochen Garcke. 2022 · 2022
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Robust fine-tuning of zero-shot models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Mitchell Wortsman, Gabriel Ilharco, Jong Wook Kim, Mike Li, Simon Kornblith, Rebecca Roelofs, Raphael Gontijo Lopes, Hannaneh Hajishirzi, Ali Farhadi, Hongseok Namkoong, et al · 2022
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With a Little Help from your own Past: Prototypical Memory Networks for Image Captioning. In Proceedings of the IEEE/CVF International Conference on Computer Vision
Manuele Barraco, Sara Sarto, Marcella Cornia, Lorenzo Baraldi, and Rita Cucchiara. 2023 · 2023
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SynthCap: Augmenting Transformers with Synthetic Data for Image Captioning. In Proceedings of the International Conference on Image Analysis and Processing
Davide Caffagni, Manuele Barraco, Marcella Cornia, Lorenzo Baraldi, and Rita Cucchiara. 2023 · 2023
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Voice-Face Homogeneity Tells Deepfake
Harry Cheng, Yangyang Guo, Tianyi Wang, Qi Li, Xiaojun Chang, and Liqiang Nie. 2023 · 2023
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Unveiling the Impact of Image Transformations on Deepfake Detection: An Experimental Analysis. In Proceedings of the International Conference on Image Analysis and Processing
Federico Cocchi, Lorenzo Baraldi, Samuele Poppi, Marcella Cornia, Lorenzo Baraldi, and Rita Cucchiara. 2023 · 2023
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On The Detection of Synthetic Images Generated by Diffusion Models. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing
Riccardo Corvi, Davide Cozzolino, Giada Zingarini, Giovanni Poggi, Koki Nagano, and Luisa Verdoliva. 2023 · 2023
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SIGMA-DF: Single-Side Guided Meta-Learning for Deepfake Detection. In Proceedings of the ACM International Conference on Multimedia Retrieval
Bing Han, Jianshu Li, Wenqi Ren, Man Luo, Jian Liu, and Xiaochun Cao. 2023 · 2023
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Positive-Augmented Contrastive Learning for Image and Video Captioning Evaluation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Sara Sarto, Manuele Barraco, Marcella Cornia, Lorenzo Baraldi, and Rita Cucchiara. 2023 · 2023
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Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Patrick Schramowski, Manuel Brack, Björn Deiseroth, and Kristian Kersting. 2023 · 2023
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DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Diffusion Models. In Proceedings of the ACM SIGSAC Conference on Computer and Communications Security
Zeyang Sha, Zheng Li, Ning Yu, and Yang Zhang. 2023 · 2023
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Video Surveillance and Privacy: A Solvable Paradox?
Rita Cucchiara, Lorenzo Baraldi, Marcella Cornia, and Sara Sarto. 2024 · 2024
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Assessment Framework for Deepfake Detection in Real-World Situations
Yuhang Lu and Touradj Ebrahimi. 2024 · 2024
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Safe-CLIP: Removing NSFW Concepts from Vision-and-Language Models
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Towards the Detection of Diffusion Model Deepfakes. In Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Jonas Ricker, Simon Damm, Thorsten Holz, and Asja Fischer. 2024 · 2024
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AVoiD-DF: Audio-Visual Joint Learning for Detecting Deepfake
Wenyuan Yang, Xiaoyu Zhou, Zhikai Chen, Bofei Guo, Zhongjie Ba, Zhihua Xia, Xiaochun Cao, and Kui Ren. 2023 · 2029
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