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Physiological and morphometric biomarkers for synthetic media detection. [PDF]
Front Bioeng BiotechnolJędrasiak K, Bijoch J.
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An integrated framework for proactive deepfake mitigation via attention-driven watermarking and blockchain-based authenticity verification. [PDF]
Sci RepHajjej F, Hamid M, Alluhaidan AS.
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Proceedings of the 9th ACM International Workshop on Security and Privacy Analytics, 2023
This tutorial presents developments on the detection of Deepfakes, which are realistic images, audios and videos created using deep learning techniques. Deepfakes can be readily used for malicious purposes and pose a serious threat to privacy and security.
Md. Shohel Rana, Andrew H. Sung
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This tutorial presents developments on the detection of Deepfakes, which are realistic images, audios and videos created using deep learning techniques. Deepfakes can be readily used for malicious purposes and pose a serious threat to privacy and security.
Md. Shohel Rana, Andrew H. Sung
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Proceedings of the 2021 ACM Workshop on Information Hiding and Multimedia Security, 2021
As deepfakes become harder to detect by humans, more reliable detection methods are required to fight the spread of fake images and videos. In our work, we focus on PRNU-based detection methods, which, while popular in the image forensics scene, have not been given much attention in the context of deepfake detection.
Florian Lugstein +3 more
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As deepfakes become harder to detect by humans, more reliable detection methods are required to fight the spread of fake images and videos. In our work, we focus on PRNU-based detection methods, which, while popular in the image forensics scene, have not been given much attention in the context of deepfake detection.
Florian Lugstein +3 more
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Multimodal Approach for DeepFake Detection
2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 2020Generative Adversarial Networks (GANs) have become increasingly popular in machine learning because of their ability to mimic any distribution of data. Though GANs can be leveraged for legitimate purposes, they have increasingly been used to create manipulative and misleading synthetic media, known as deepfakes, intended for nefarious purposes. In this
Michael Lomnitz +3 more
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Robust and Generalized DeepFake Detection
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2022Siddharth Yadav +2 more
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Detecting Deepfakes: Exploring the Frontiers of Deepfake Generation and Detection
Proceedings of the 16th Annual Meeting of the Forum for Information Retrieval EvaluationSurbhi Raj, Jimson Mathew, Arijit Mondal
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Deep Convolutional Pooling Transformer for Deepfake Detection
ACM Transactions on Multimedia Computing, Communications and Applications, 2023Liqiang Nie +2 more
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ADD: Attention-Based DeepFake Detection Approach
Big Data and Cognitive Computing, 2021Jiann Shiun Yuan, Aminollah Khormali
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A Survey of Deepfake Detection Methods
2023 31st Signal Processing and Communications Applications Conference (SIU), 2023Burak Ikan Yildiz, Berk Gökberk
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