SupCon-MPL-DP: Supervised Contrastive Learning with Meta Pseudo Labels for Deepfake Image Detection
Applied SciencesRecently, there has been considerable research on deepfake detection. However, most existing methods face challenges in adapting to the advancements in new generative models within unknown domains.
Kyeong-Hwan Moon +2 more
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Deepfake Detection Method Integrating Multiple Parameter-Efficient Fine-Tuning Techniques [PDF]
Jisuanji kexue yu tansuoIn recent years, as deepfake technology matures, face-swapping software and synthesized videos have become widespread. While these techniques offer entertainment, they also provide opportunities for misuse by malicious actors.
ZHANG Yiwen, CAI Manchun, CHEN Yonghao, ZHU Yi, YAO Lifeng
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Anomaly Detection of Deepfake Audio Based on Real Audio Using Generative Adversarial Network Model
IEEE AccessDeepfake audio causes damage not only to individuals and companies, but also to nations; therefore, research on deepfake audio detection technology is crucial.
Daeun Song +3 more
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Comprehensive multiparametric analysis of human deepfake speech recognition
EURASIP Journal on Image and Video ProcessingIn this paper, we undertake a novel two-pronged investigation into the human recognition of deepfake speech, addressing critical gaps in existing research.
Kamil Malinka +5 more
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Visual Deepfake Detection: Review of Techniques, Tools, Limitations, and Future Prospects
IEEE AccessIn recent years, rapid advancements in deepfakes (incorporating Artificial Intelligence (AI), machine, and deep learning) have updated tools and techniques for manipulating multimedia. Though technology has primarily been utilized for beneficial purposes,
Naveed Ur Rehman Ahmed +5 more
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Deepfake detection: challenges and solutions [PDF]
, 2023 Deepfakes can have a serious impact on the spread of fake news and on people's lives in general, becoming every day more dangerous. Moderation of online content and databases is vital to mitigate this phenomenon but the development of systems to distinguish between fake and genuine content comes with its own challenges: (a) The lack of generalization ...
openaire +2 more sources
A Comparative Analysis of Compression and Transfer Learning Techniques in DeepFake Detection Models
MathematicsDeepFake detection models play a crucial role in ambient intelligence and smart environments, where systems rely on authentic information for accurate decisions.
Andreas Karathanasis +2 more
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Face Forgery Detection and Attribution via Prototype Disentanglement [PDF]
Jisuanji kexue yu tansuoThe detection and attribution of face forgery aims to determine whether a face in an image or video has been manipulated or synthesized using Deepfake techniques, as well as to further analyze the Deepfake method behind it.
QIAN Fei, LI Wei, CHEN Peng, CHEN Haoran, XIE Lipeng, LIU Liyuan
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Generalizable Detection of Audio Deepfakes
ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)8 pages, 3 ...
Jose A. Lopez +2 more
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An Investigation into the Utilisation of CNN with LSTM for Video Deepfake Detection
Applied SciencesVideo deepfake detection has emerged as a critical field within the broader domain of digital technologies driven by the rapid proliferation of AI-generated media and the increasing threat of its misuse for deception and misinformation.
Sarah Tipper +2 more
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