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Articles

[2509.17550] Is It Certainly a Deepfake? Reliability Analysis in Detection & Generation Ecosystem

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By Umur Aybars
| arxiv.org
[Submitted on 22 Sep 2025] Title:Is It Certainly a Deepfake? Reliability Analysis in Detection & Generation Ecosystem View a PDF of the paper titled Is It Certainly a Deepfake? Reliability Analysis in Detection & Generation Ecosystem, by Neslihan Kose and 3 other authors View PDF HTML (experimental) Abstract:As generative models are advancing in quality and quantity for creating synthetic content, deepfakes begin to cause online mistrust.
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My Body My Choice: Human-Centric Full-Body Anonymization

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By Umur Aybars, Ali Kemal
| arxiv.org
arXiv:2406.09553 (cs) View PDF HTML (experimental) Comments: Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI) Cite as: arXiv:2406.09553 [cs.CV] (or arXiv:2406.09553v1 [cs.CV] for this version) Submission history From: Umur Aybars Ciftci [ view email] [v1] Thu, 13 Jun 2024 19:40:30 UTC (28,350 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations...
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My Art My Choice: Adversarial Protection Against Unruly AI

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By Umur Aybars, Ram Bhagat, Ilke Demir, Umur Aybars Ciftci
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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