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Single-layer KAN for deepfake classification: Balancing efficiency and performance in resource constrained environments. [PDF]
PLoS OneJabbar N +4 more
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Seeing is Believing: The Continued Influence of Known AI-Generated ‘Deepfake’ Videos
Clark S, Lewandowsky S.
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Awareness to Deepfake: A resistance mechanism to Deepfake
2021 International Congress of Advanced Technology and Engineering (ICOTEN), 2021The goal of this study is to find whether exposure to Deepfake videos makes people better at detecting Deepfake videos and whether it is a better strategy against fighting Deepfake. For this study a group of people from Bangladesh has volunteered.
Mohammad Faisal Bin Ahmed +3 more
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2021
Deepfakes—manipulated or synthetic audiovisual media, mostly created using AI—are employed in a wide range of contexts: from politics to pornography, crime, business, law enforcement, art, satire, education and activism. This study provides the first holistic technology assessment of the societal and ethical implications of deepfakes in these contexts ...
Maria Pawelec, Cora Bieß
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Deepfakes—manipulated or synthetic audiovisual media, mostly created using AI—are employed in a wide range of contexts: from politics to pornography, crime, business, law enforcement, art, satire, education and activism. This study provides the first holistic technology assessment of the societal and ethical implications of deepfakes in these contexts ...
Maria Pawelec, Cora Bieß
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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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2020
Deepfakes. The technology, which enables the manipulation of video and audio files, in combination with fake news has caused a lot of insecurities in the last several years. Deepfakes use neural networks to insert people in hypothetical scenarios.
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Deepfakes. The technology, which enables the manipulation of video and audio files, in combination with fake news has caused a lot of insecurities in the last several years. Deepfakes use neural networks to insert people in hypothetical scenarios.
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Memory, 2021
Machine-learning has enabled the creation of "deepfake videos"; highly-realistic footage that features a person saying or doing something they never did. In recent years, this technology has become more widespread and various apps now allow an average social-media user to create a deepfake video which can be shared online.
Gillian Murphy, Emma Flynn
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Machine-learning has enabled the creation of "deepfake videos"; highly-realistic footage that features a person saying or doing something they never did. In recent years, this technology has become more widespread and various apps now allow an average social-media user to create a deepfake video which can be shared online.
Gillian Murphy, Emma Flynn
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DeepFake Disrupter: The Detector of DeepFake Is My Friend
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022Xueyu Wang +4 more
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DeepFake's Adversary: Disrupting DeepFake by Perturbations
2022In recent years, with the advances of generative models, many powerful face manipulation systems have been developed based on Deep Neural Networks (DNNs), called DeepFakes. If DeepFakes are not controlled timely and properly, they would cause severe social impact and become a real threat to not only celebrities but also ordinary people.
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