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The Face Deepfake Detection Challenge. [PDF]
J Imaging, 2022 Multimedia data manipulation and forgery has never been easier than today, thanks to the power of Artificial Intelligence (AI). AI-generated fake content, commonly called Deepfakes, have been raising new issues and concerns, but also new challenges for the research community.
Guarnera L +19 more
europepmc +7 more sources
CrossDF: improving cross-domain deepfake detection with deep information decomposition [PDF]
Frontiers in Big DataDeepfake technology represents a serious risk to safety and public confidence. While current detection approaches perform well in identifying manipulations within datasets that utilize identical deepfake methods for both training and validation, they ...
Shanmin Yang +7 more
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MCW: A Generalizable Deepfake Detection Method for Few-Shot Learning [PDF]
Sensors, 2023 With the development of deepfake technology, deepfake detection has received widespread attention. Although some deepfake forensics techniques have been proposed, they are still very difficult to implement in real-world scenarios.
Lei Guan +4 more
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Analysis of Score-Level Fusion Rules for Deepfake Detection [PDF]
Applied Sciences, 2022 Deepfake detection is of fundamental importance to preserve the reliability of multimedia communications. Modern deepfake detection systems are often specialized on one or more types of manipulation but are not able to generalize. On the other hand, when
Sara Concas +7 more
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Design and development of an efficient RLNet prediction model for deepfake video detection [PDF]
Frontiers in Big DataIntroductionThe widespread emergence of deepfake videos presents substantial challenges to the security and authenticity of digital content, necessitating robust detection methods.
Varad Bhandarkawthekar +3 more
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Is this real? Susceptibility to deepfakes in machines and humans [PDF]
Cognitive ResearchDeepfakes are synthetic media created by deep-generative methods to fake a person’s audio-visual representation. Growing sophistication of deepfake technology poses significant challenges for both machine learning (ML) algorithms and humans. Here we used
Didem Pehlivanoglu +7 more
doaj +2 more sources
Proceedings of the 1st Workshop on Security Implications of Deepfakes and Cheapfakes, 2022 The digital revolution brought a huge amount of processing power that can be used for various topics, like autonomous-driving, recognizing cancer cells and financial trading. Lately, the rise of Artificial Intelligence has been present in all media and brought a rather significant impact on society.
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DeepFake Detection for Human Face Images and Videos: A Survey
IEEE Access, 2022 Techniques for creating and manipulating multimedia information have progressed to the point where they can now ensure a high degree of realism. DeepFake is a generative deep learning algorithm that creates or modifies face features in a superrealistic ...
Asad Malik +3 more
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Fighting Deepfakes Using Body Language Analysis
Forecasting, 2021 Recent improvements in deepfake creation have made deepfake videos more realistic. Moreover, open-source software has made deepfake creation more accessible, which reduces the barrier to entry for deepfake creation. This could pose a threat to the people’
Robail Yasrab, Wanqi Jiang, Adnan Riaz
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Detection Enhancement for Various Deepfake Types Based on Residual Noise and Manipulation Traces
IEEE Access, 2022 As deepfake techniques become more sophisticated, the demand for fake facial image detection continues to increase. Various deepfake detection techniques have been introduced but detecting all types of deepfake images with a single model remains ...
Jihyeon Kang +4 more
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