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This research addresses the challenge of developing a universal deepfake detector that can effectively identify unseen deepfake images despite limited training data.
The fast Fourier transform and its applications
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Mining generalized features for detecting ai-manipulated fake faces
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Generative Adversarial Nets
Goodfellow, I. J.; et al. 2014 · 2014
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Adam: A Method for Stochastic Optimization
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Deep learning face attributes in the wild
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Imagenet large scale visual recognition challenge
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The cramer distance as a solution to biased wasserstein gradients
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Began: Boundary equilibrium generative adversarial networks
Berthelot, D.; et al. 2017 · 2017
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Xception: Deep learning with depthwise separable convolutions
Chollet, F. 2017 · 2017
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Mmd gan: Towards deeper understanding of moment matching network
Li, C.-L.; et al. 2017 · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
Zhu, J.-Y.; et al. 2017 · 2017
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Large Scale GAN Training for High Fidelity Natural Image Synthesis
Brock, A.; et al. 2018 · 2018
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Stargan: Unified generative adversarial networks for multi-domain image-to-image translation
Choi, Y.; et al. 2018 · 2018
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Progressive Growing of GANs for Improved Quality, Stability, and Variation
Karras, T.; et al. 2018 · 2018
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In ictu oculi: Exposing ai created fake videos by detecting eye blinking
Li, Y.; et al. 2018 · 2018
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Spectral normalization for generative adversarial networks
Miyato, T.; et al. 2018 · 2018
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AttGAN: Facial Attribute Editing by Only Changing What You Want
He, Z.; et al. 2019 · 2019
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A style-based generator architecture for generative adversarial networks
Karras, T.; et al. 2019 · 2019
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Stgan: A unified selective transfer network for arbitrary image attribute editing
Thinking in frequency: Face forgery detection by mining frequency-aware clues
Qian, Y.; et al. 2020 · 2020
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CNN-generated images are surprisingly easy to spot… for now
Wang, S.-Y.; et al. 2020 · 2020
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Lips don’t lie: A generalisable and robust approach to face forgery detection
Haliassos, A.; et al. 2021 · 2021
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Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis
He, Y.; et al. 2021 · 2021
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Infomax-gan: Improved adversarial image generation via information maximization and contrastive learning
Lee, K. S.; et al. 2021 · 2021
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Frequency-aware discriminative feature learning supervised by single-center loss for face forgery detection
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Liu, M.; et al. 2019 · 2019
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High-fidelity image generation with fewer labels
Lučić, M.; et al. 2019 · 2019
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Relgan: Relational generative adversarial networks for text generation
Nie, W.; et al. 2019 · 2019
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Semantic image synthesis with spatially-adaptive normalization
Park, T.; et al. 2019 · 2019
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Pytorch: An imperative style, high-performance deep learning library
Paszke, A.; et al. 2019 · 2019
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Faceforensics++: Learning to detect manipulated facial images
Rossler, A.; et al. 2019 · 2019
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What makes fake images detectable? understanding properties that generalize
Chai, L.; et al. 2020 · 2020
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Li, J.; et al. 2021 · 2021
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Generalizing face forgery detection with high-frequency features
Luo, Y.; et al. 2021 · 2021
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Representative forgery mining for fake face detection
Wang, C.; et al. 2021 · 2021
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End-to-end reconstruction-classification learning for face forgery detection
Cao, J.; et al. 2022 · 2022
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Self-supervised learning of adversarial example: Towards good generalizations for deepfake detection
Chen, L.; et al. 2022 · 2022
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Detecting deepfakes with self-blended images
Shiohara, K.; et al. 2022 · 2022
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ADD: Frequency Attention and Multi-View Based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images
Woo, S.; et al. 2022 · 2022
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A continual deepfake detection benchmark: Dataset, methods, and essentials
Li, C.; Huang, Z.; Paudel, D. P.; Wang, Y.; Shahbazi, M.; Hong, X.; and Van Gool, L. 2023 · 2023
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Towards universal fake image detectors that generalize across generative models
Ojha, U.; et al. 2023 · 2023
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Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection
Tan, C.; et al. 2023 · 2023
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Dynamic Graph Learning With Content-Guided Spatial-Frequency Relation Reasoning for Deepfake Detection
Wang, Y.; et al. 2023 · 2023
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