Workshop and Challenge on DeepFake Analysis and Detection
Detecting Images Generated by Deep Diffusion Models Using Their Local Intrinsic Dimensionality-
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[supp]
[arXiv]
[bibtex]@InProceedings{Lorenz_2023_ICCV, author = {Lorenz, Peter and Durall, Ricard L. and Keuper, Janis}, title = {Detecting Images Generated by Deep Diffusion Models Using Their Local Intrinsic Dimensionality}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {448-459} }
Attending Generalizability in Course of Deep Fake Detection by Exploring Multi-Task Learning-
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[arXiv]
[bibtex]@InProceedings{Balaji_2023_ICCV, author = {Balaji, Pranav and Das, Abhijit and Das, Srijan and Dantcheva, Antitza}, title = {Attending Generalizability in Course of Deep Fake Detection by Exploring Multi-Task Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {475-484} }
TrainFors: A Large Benchmark Training Dataset for Image Manipulation Detection and Localization-
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[supp]
[arXiv]
[bibtex]@InProceedings{Nandi_2023_ICCV, author = {Nandi, Soumyaroop and Natarajan, Prem and Abd-Almageed, Wael}, title = {TrainFors: A Large Benchmark Training Dataset for Image Manipulation Detection and Localization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {403-414} }
FIVA: Facial Image and Video Anonymization and Anonymization Defense-
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[supp]
[arXiv]
[bibtex]@InProceedings{Rosberg_2023_ICCV, author = {Rosberg, Felix and Aksoy, Eren Erdal and Englund, Cristofer and Alonso-Fernandez, Fernando}, title = {FIVA: Facial Image and Video Anonymization and Anonymization Defense}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {362-371} }
Interpretable-Through-Prototypes Deepfake Detection for Diffusion Models-
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[supp]
[bibtex]@InProceedings{Aghasanli_2023_ICCV, author = {Aghasanli, Agil and Kangin, Dmitry and Angelov, Plamen}, title = {Interpretable-Through-Prototypes Deepfake Detection for Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {467-474} }
Learning Interpretable Forensic Representations via Local Window Modulation-
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[bibtex]@InProceedings{Das_2023_ICCV, author = {Das, Sowmen and Amin, Md. Ruhul}, title = {Learning Interpretable Forensic Representations via Local Window Modulation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {436-447} }
Revisiting Generalizability in Deepfake Detection: Improving Metrics and Stabilizing Transfer-
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[bibtex]@InProceedings{Kamat_2023_ICCV, author = {Kamat, Sarthak and Agarwal, Shruti and Darrell, Trevor and Rohrbach, Anna}, title = {Revisiting Generalizability in Deepfake Detection: Improving Metrics and Stabilizing Transfer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {426-435} }
WaterLo: Protect Images from Deepfakes Using Localized Semi-Fragile Watermark-
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[supp]
[bibtex]@InProceedings{Beuve_2023_ICCV, author = {Beuve, Nicolas and Hamidouche, Wassim and D\'eforges, Olivier}, title = {WaterLo: Protect Images from Deepfakes Using Localized Semi-Fragile Watermark}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {393-402} }
Online Detection of AI-Generated Images-
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[bibtex]@InProceedings{Epstein_2023_ICCV, author = {Epstein, David C. and Jain, Ishan and Wang, Oliver and Zhang, Richard}, title = {Online Detection of AI-Generated Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {382-392} }
A Comprehensive Framework for Evaluating Deepfake Generators: Dataset, Metrics Performance, and Comparative Analysis-
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[bibtex]@InProceedings{Husseini_2023_ICCV, author = {Husseini, Sahar and Dugelay, Jean-Luc}, title = {A Comprehensive Framework for Evaluating Deepfake Generators: Dataset, Metrics Performance, and Comparative Analysis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {372-381} }
Undercover Deepfakes: Detecting Fake Segments in Videos-
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[supp]
[arXiv]
[bibtex]@InProceedings{Saha_2023_ICCV, author = {Saha, Sanjay and Perera, Rashindrie and Seneviratne, Sachith and Malepathirana, Tamasha and Rasnayaka, Sanka and Geethika, Deshani and Sim, Terence and Halgamuge, Saman}, title = {Undercover Deepfakes: Detecting Fake Segments in Videos}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {415-425} }
Deepfakes Signatures Detection in the Handcrafted Features Space-
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[bibtex]@InProceedings{Hamadene_2023_ICCV, author = {Hamadene, Assia and Ouahabi, Abdeldjalil and Hadid, Abdenour}, title = {Deepfakes Signatures Detection in the Handcrafted Features Space}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {460-466} }