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Pp-Dfd: A Privacy-Preserving Deepfake Detection

https://doi.org/10.2139/ssrn.4779062
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inferredcites →https://doi.org/10.1002/int.22356openalex-extracted
Privacy preservation for image data: A GAN‐based method
inferredcites →https://doi.org/10.1007/978-3-319-70694-8_15openalex-extracted
Homomorphic Encryption for Arithmetic of Approximate Numbers
inferredcites →https://doi.org/10.1007/bf00994018openalex-extracted
Support-Vector Networks
inferredcites →https://doi.org/10.1007/s10489-022-03766-zopenalex-extracted
Deepfakes generation and detection: state-of-the-art, open challenges, countermeasures, and way forward
inferredcites →https://doi.org/10.1016/j.patrec.2020.07.009openalex-extracted
Security in smart cities: A brief review of digital forensic schemes for biometric data
inferredcites →https://doi.org/10.1080/15295036.2020.1832697openalex-extracted
Politics and porn: how news media characterizes problems presented by deepfakes
inferredcites →https://doi.org/10.1109/access.2023.3344653openalex-extracted
A Survey on the Detection and Impacts of Deepfakes in Visual, Audio, and Textual Formats
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-extracted
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-extracted
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00327openalex-extracted
Celeb-DF: A Large-Scale Challenging Dataset for DeepFake Forensics
inferredcites →https://doi.org/10.1109/iccv.2019.00009openalex-extracted
FaceForensics++: Learning to Detect Manipulated Facial Images
inferredcites →https://doi.org/10.1109/icip.2019.8803661openalex-extracted
Detecting GAN-Generated Imagery Using Saturation Cues
inferredcites →https://doi.org/10.1109/ijcnn55064.2022.9892413openalex-extracted
PRaNA: PRNU-based Technique to Tell Real and Deepfake Videos Apart
inferredcites →https://doi.org/10.1109/tbiom.2019.2942395openalex-extracted
Detection of Face Morphing Attacks Based on PRNU Analysis
inferredcites →https://doi.org/10.1109/tifs.2017.2701335openalex-extracted
Blind PRNU-Based Image Clustering for Source Identification
inferredcites →https://doi.org/10.1109/tifs.2023.3235579openalex-extracted
Forensic Symmetry for DeepFakes
inferredcites →https://doi.org/10.1109/tifs.2023.3249566openalex-extracted
Masked Relation Learning for DeepFake Detection
inferredcites →https://doi.org/10.1109/tts.2020.3001312openalex-extracted
Artificial Intelligence in Digital Media: The Era of Deepfakes
inferredcites →https://doi.org/10.1109/wifs47025.2019.9035107openalex-extracted
Detecting and Simulating Artifacts in GAN Fake Images
inferredcites →https://doi.org/10.1145/3437880.3460400openalex-extracted
PRNU-based Deepfake Detection
inferredcites →https://doi.org/10.22215/timreview/1282openalex-extracted
The Emergence of Deepfake Technology: A Review
inferredcites →https://doi.org/10.23919/eusipco54536.2021.9616041openalex-extracted
Combining Forensics and Privacy Requirements for Digital Images
inferredcites →https://doi.org/10.24963/ijcai.2020/476openalex-extracted
FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces
inferredcites →https://doi.org/10.34190/iccws.20.085openalex-extracted
Fake news and deepfakes: A dangerous threat for 21st century information security
inferredcites →https://doi.org/10.48550/arxiv.1805.07836openalex-extracted
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels
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