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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
doaj +1 more source
MIS-AVoiDD: Modality Invariant and Specific Representation for Audio-Visual Deepfake Detection
, 2023 Deepfakes are synthetic media generated using deep generative algorithms and have posed a severe societal and political threat. Apart from facial manipulation and synthetic voice, recently, a novel kind of deepfakes has emerged with either audio or ...
Katamneni, Vinaya Sree, Rattani, Ajita
core
, 2022 Deepfake refers to tailored and synthetically generated videos which are now prevalent and spreading on a large scale, threatening the trustworthiness of the information available online. While existing datasets contain different kinds of deepfakes which
Agarwal, Harsh +5 more
core
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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Neural Network Ensemble Method for Deepfake Classification Using Golden Frame Selection
Big Data and Cognitive ComputingDeepfake technology poses significant threats in various domains, including politics, cybersecurity, and social media. This study uses the golden frame selection technique to present a neural network ensemble method for deepfake classification.
Khrystyna Lipianina-Honcharenko +4 more
doaj +1 more source
A Comprehensive Evaluation of Deepfake Detection Methods: Approaches, Challenges and Future Prospects [PDF]
ITM Web of ConferencesAdvances in technology have made deepfake forgeries easier, posing serious ethical and security risks that highlight the urgent need for better detection methods.
Hu Xixi
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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
doaj +1 more source
Penerapan ResNeXt dan Long Short-Term Memory untuk Deteksi Video Deepfake
JISKA (Jurnal Informatika Sunan Kalijaga)Deepfake is a form of facial manipulation in videos that utilizes artificial intelligence-based models to generate highly realistic visual content. The increasing spread of Deepfake has the potential to cause misinformation, manipulate public opinion ...
Chalifa Chazar +4 more
doaj +1 more source
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
doaj +1 more source
Detection of Deepfake Environmental Audio
2024 32nd European Signal Processing Conference (EUSIPCO)With the ever-rising quality of deep generative models, it is increasingly important to be able to discern whether the audio data at hand have been recorded or synthesized. Although the detection of fake speech signals has been studied extensively, this is not the case for the detection of fake environmental audio.
Hafsa Ouajdi +4 more
openaire +3 more sources