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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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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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Deepfake Speech Recognition and Detection
International Journal of Pattern Recognition and Artificial Intelligence, 2023Deepfake technology, especially deep voice, which has been derived from artificial intelligence in recent years, is potentially harmful, and the public is not yet wary. However, many speech synthesis models measure the degree of true restitution by Mean Opinion Rating (MOS), a subjective assessment of naturalness and quality of speech by human ...
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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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A comprehensive overview of Deepfake: Generation, detection, datasets, and opportunities
Neurocomputing, 2022Raphaël C -W Phan
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Deepfake Video Detection via Predictive Representation Learning
ACM Transactions on Multimedia Computing, Communications and Applications, 2022Shiming Ge, Fanzhao Lin, Chenyu Li
exaly
A Survey of DeepFakes Generation and Detection
2021 IEEE Sixth International Conference on Data Science in Cyberspace (DSC), 2021Kaihan Lin +3 more
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Deep Convolutional Pooling Transformer for Deepfake Detection
ACM Transactions on Multimedia Computing, Communications and Applications, 2023Tianyi Wang +2 more
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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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