A list of Deepfakes Detection datasets, tools, papers and code. If this list help you in your research, a star is my pleasure.
If you want to contribute to this list, welcome to send me a pull request or contact me :) .
This repo only collect papers related to Deepfake Detection. If you are also interested in Deepfakes, please refer to: Awesome Deepfakes.
- Datasets
- Competitions
- Tools
- Recent Conference Papers
- Survey
- Spatiotemporal Based
- Frequency Based
- Generalization
- Interpretability
- Human-Decision
- Localization
- Multi-modal Based
- Biological Signal
- Fairness
- Fingerprint and Watermark
- Identity-Related
- Adversarial Attack
- Real Scenario
- Anomaly Detection
- Self-Supervised Learning
- Source Model Attribution
- Multiclass Classification
- Federated Learning
- Knowledge Distillation
- Meta-Learning
- Depth Based
- UADFV: Exposing Deep Fakes Using Inconsistent Head Poses. Paper
- EBV: In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye Blinking. Paper Download
- Deepfake-TIMIT: DeepFakes: a New Threat to Face Recognition? Assessment and Detection. Paper Download
- DFFD: On the Detection of Digital Face Manipulation. Paper Download
- DeepfakeDetection: Download
- Celeb-DF (v1): Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics. Paper Download
- Celeb-DF (v2): Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics. Paper Download
- DFDC: The DeepFake Detection Challenge (DFDC) Dataset. Paper Download
- FaceForensic++: FaceForensics++: Learning to Detect Manipulated Facial Images. Paper Download
- FFIW-10K: Face Forensics in the Wild. Paper Download
- Deeper Forensic-1.0: DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection. Paper Download
- Wild Deepfake: WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection. Paper Download
- ForgeryNet: ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis. Paper Download
- WLDR: Protecting World Leaders Against Deep Fakes. Paper
| Real Videos | Fake Videos | Year | Note | |
|---|---|---|---|---|
| UADFV | 49 | 49 | 2018 | focus on head pose |
| EBV | - | 49 | 2018 | focus on eye blinking |
| Deepfake-TIMIT | 320 | 640 | 2018 | GAN-Based methods |
| DFFD | 1,000 | 3000 | 2019 | mutiple SOTA methods |
| DeepfakeDetection | 363 | 3,608 | 2019 | collect from actors with publicly available generation methods |
| Celeb-DF (v2) | 590 | 5639 | 2019 | high quality |
| DFDC | 23,564 | 104,500 | 2019 | DFDC competition on Kaggle |
| FaceForensic++ | 1,000 | 5,000 | 2019 | five different generation methods |
| FFIW-10K | 10,000 | 10,000 | 2019 | mutiple faces in one frame |
| WLDR | - | - | 2019 | person of interest video from Youtube |
| DeeperForensics-1.0 | 50,000 | 10,000 | 2020 | add real-world perturbations |
| Wild-Deepfake | 3,805 | 3,509 | 2021 | collect from Internet |
| ForgeryNet | 99,630 | 121,617 | 2021 | 8 video-level generation methods, add perturbations |
- DFFD: On the Detection of Digital Face Manipulation. Paper Download
- iFakeFaceDB: GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection. Paper Download
- 100k Faces Generated by AI (Online): Download
- DFGC: DFGC 2021: A DeepFake Game Competition. Paper Dowload
- ForgeryNet: ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis. Paper Download
| Real Images | Fake Images | Year | Note | |
|---|---|---|---|---|
| DFFD | 58,703 | 240,336 | 2019 | mutiple SOTA methods |
| iFakeFaceDB | - | 87,000 (StyleGAN) | 2020 | generated by StyleGAN |
| 100k Faces | - | 100,000 (StyleGAN) | 2021 | generated by StyleGAN |
| DFGC | 1,000 | N*1,000 | 2021 | DFGC 2021 competition, fake images generated by users |
| ForgeryNet | 1,438,201 | 1,457,861 | 2021 | 7 image-level generation methods, add perturbations |
| Name | Link | Year | Note |
|---|---|---|---|
| Deepfake Detection Challenge | Website | 2019 | 1. video-level detection. 2. use DFDC datasets. 3. the first worldwide competition. 4. more than 2,000 teams participated. |
| DeepForensics Challenge | Website | 2020 | 1. video-level detection. 2. use DeeperForensics-1.0 datasets. 3. simulates real-world scenarios. |
| Deepfake Game Competition | Website | 2021 | 1. both image-level generation and video-level detection track. 2. use Celeb-DF(v2) datasets. |
| Face Forgery Analysis Challenge | Website | 2021 | 1. both image-level and video-level detection track. 2. addtional temporal localization track. 3. use ForgeryNet dataset. |
- Learning Second Order Local Anomaly for General Face Forgery Detection, CVPR 2022: Paper
- DeepFake Disrupter: The Detector of DeepFake Is My Friend, CVPR 2022: Paper
- Protecting Celebrities from DeepFake with Identity Consistency Transformer, CVPR 2022: Paper Github
- Detecting Deepfakes with Self-Blended Images, CVPR 2022: Paper Github
- Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection, CVPR 2022: Paper Github
- End-to-End Reconstruction-Classification Learning for Face Forgery Detection, CVPR 2022: Paper
- Robust Image Forgery Detection Against Transmission Over Online Social Networks, CVPR 2022: Paper Github
- Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detection, CVPR 2022: Paper
- Exploring Frequency Adversarial Attacks for Face Forgery Detection, CVPR 2022: Paper
- ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis, CVPR 2021: Paper Github
- Representative Forgery Mining for Fake Face Detection, CVPR 2021: Paper Github
- MagDR: Mask-Guided Detection and Reconstruction for Defending Deepfakes, CVPR 2021: Paper
- Improving the Efficiency and Robustness of Deepfakes Detection Through Precise Geometric Features, CVPR 2021: Paper Github
- Multi-Attentional Deepfake Detection, CVPR 2021: Paper Github
- Lips Don't Lie: A Generalisable and Robust Approach To Face Forgery Detection, CVPR 2021: Paper
- Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain, CVPR 2021: Paper
- Frequency-Aware Discriminative Feature Learning Supervised by Single-Center Loss for Face Forgery Detection, CVPR 2021: Paper
- Generalizing Face Forgery Detection With High-Frequency Features, CVPR 2021: Paper
- Face Forgery Detection by 3D Decomposition, CVPR 2021: Paper
- Global Texture Enhancement for Fake Face Detection in the Wild, CVPR 2020: Paper
- On the Detection of Digital Face Manipulation, CVPR 2020: Paper Github
- Face X-Ray for More General Face Forgery Detection, CVPR 2020: Paper
- CNN-generated images are surprisingly easy to spot... for now, CVPR 2020: Paper Github
- CORE: Consistent Representation Learning for Face Forgery Detection, CVPR Workshop 2022: Paper Github
- FReTAL: Generalizing Deepfake Detection using Knowledge Distillation and Representation Learning, CVPR Workshop 2021: Paper
- Towards Untrusted Social Video Verification to Combat Deepfakes via Face Geometry Consistency, CVPR Workshop 2020: Paper
- OC-FakeDect: Classifying Deepfakes Using One-class Variational Autoencoder, CVPR Workshop 2020: Paper
- Exposing DeepFake Videos By Detecting Face Warping Artifacts, CVPR Workshop 2019: Paper
- Recurrent Convolutional Strategies for Face Manipulation Detection in Videos, CVPR Workshop 2019: Paper
- Two-Stream Neural Networks for Tampered Face Detection, CVPR Workshop 2017: Paper
- ID-Reveal: Identity-aware DeepFake Video Detection, ICCV 2021: Paper Github
- Learning Self-Consistency for Deepfake Detection, ICCV 2021: Paper
- Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data, ICCV 2021: Paper Github
- KoDF: A Large-scale Korean DeepFake Detection Dataset, ICCV 2021: Paper
- Exploring Temporal Coherence for More General Video Face Forgery Detection, ICCV 2021: Paper
- Joint Audio-Visual Deepfake Detection, ICCV 2021: Paper
- OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery Detection And Segmentation In-The-Wild, ICCV 2021: Paper
- Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints, ICCV 2019: Paper Github
- Detecting and Recovering Sequential DeepFake Manipulation, ECCV 2022: Paper Github
- Hierarchical Contrastive Inconsistency Learning for Deepfake Video Detection, ECCV 2022: Paper
- Explaining Deepfake Detection by Analysing Image Matching, ECCV 2022: Paper
- FingerprintNet: Synthesized Fingerprints for Generated Image Detection, ECCV 2022: Paper
- UIA-ViT: Unsupervised Inconsistency-Aware Method based on Vision Transformer for Face Forgery Detection, ECCV 2022: Paper
- Adaptive Face Forgery Detection in Cross Domain, ECCV 2022: Paper
- An Information Theoretic Approach for Attention-Driven Face Forgery Detection, ECCV 2022: Paper
- Exploring Disentangled Content Information for Face Forgery Detection, ECCV 2022: Paper
- Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues, ECCV 2020: Paper
- Two-branch Recurrent Network for Isolating Deepfakes in Videos, ECCV 2020: Paper
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Delving into Sequential Patches for Deepfake Detection, NIPS 2022: Paper
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OST: Improving Generalization of DeepFake Detection via One-Shot Test-Time Training, NIPS 2022: Paper Github
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WaveFake: A Data Set to Facilitate Audio Deepfake Detection, NIPS 2021: Paper Github
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AOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection, NIPS 2020: Paper
- Region-Aware Temporal Inconsistency Learning for DeepFake Video Detection, IJCAI 2022: Paper
- Anti-Forgery: Towards a Stealthy and Robust DeepFake Disruption Attack via Adversarial Perceptual-aware Perturbations, IJCAI 2022: Paper Github
- Detecting Deepfake Videos with Temporal Dropout 3DCNN, IJCAI 2021: Paper
- Dynamic Inconsistency-aware DeepFake Video Detection, IJCAI 2021: Paper
- An Examination of Fairness of AI Models for Deepfake Detection, IJCAI 2021: Paper
- Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis, IJCAI 2021: Paper Github
- FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces, IJCAI 2020: Paper
- Delving into the Local: Dynamic Inconsistency Learning for DeepFake Video Detection, AAAI 2022: Paper
- Deepfake Network Architecture Attribution, AAAI 2022: Paper Github
- Dual Contrastive Learning for General Face Forgery Detection, AAAI 2022: Paper
- CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes, AAAI 2022: Paper Github
- ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images, AAAI 2022: Paper
- Exploiting Fine-grained Face Forgery Clues via Progressive Enhancement Learning, AAAI 2022: Paper
- FInfer: Frame Inference-based Deepfake Detection for High-Visual-Quality Videos, AAAI 2022: Paper
- FrePGAN: Robust Deepfake Detection Using Frequency-level Perturbations, AAAI 2022: Paper
- Domain General Face Forgery Detection by Learning to Weight, AAAI 2021: Paper Github
- Local Relation Learning for Face Forgery Detection, AAAI 2021: Paper
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Wavelet-enhanced Weakly Supervised Local Feature Learning for Face Forgery Detection, ACM MM 2022: Paper
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Defeating DeepFakes via Adversarial Visual Reconstruction, ACM MM 2022: Paper
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Evaluation of an Audio-Video Multimodal Deepfake Dataset using Unimodal and Multimodal Detectors, ACM MM 2021: Paper
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Spatiotemporal Inconsistency Learning for DeepFake Video Detection, ACM MM 2021: Paper
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Video Transformer for Deepfake Detection with Incremental Learning, ACM MM 2021: Paper
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Metric Learning for Anti-Compression Facial Forgery Detection, ACM MM 2021: Paper
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CoReD: Generalizing Fake Media Detection with Continual Representation using Distillation, ACM MM 2021: Paper
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FakeTagger: Robust Safeguards against DeepFake Dissemination via Provenance Tracking, ACM MM 2021: Paper
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FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset, ACM MM 2021 Workshop: Paper Github
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Not made for each other- Audio-Visual Dissonance-based Deepfake Detection and Localization, ACM MM 2020: Paper Github
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Sharp Multiple Instance Learning for DeepFake Video Detection, ACM MM 2020: Paper
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DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms, ACM MM 2020: Paper
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Emotions Don't Lie: An Audio-Visual Deepfake Detection Method using Affective Cues, ACM MM 2020: Paper
- Deepfake: Definitions, Performance Metrics and Standards, Datasets and Benchmarks, and a Meta-Review, arXiv 2022: Paper
- Deepfakes Generation and Detection: State-of-the-art, open challenges, countermeasures, and way forward, Applied Intelligence 2022: Paper
- DeepFake Detection for Human Face Images and Videos: A Survey, IEEE Access 2022: Paper
- Deepfake Detection: A Systematic Literature Review, IEEE Access 2022: Paper
- A Survey on Deepfake Video Detection, Iet Biometrics 2021: Paper
- Hierarchical Contrastive Inconsistency Learning for Deepfake Video Detection, ECCV 2022: Paper
- Region-Aware Temporal Inconsistency Learning for DeepFake Video Detection, IJCAI 2022: Paper
- FInfer: Frame Inference-based Deepfake Detection for High-Visual-Quality Videos, AAAI 2022: Paper
- Delving into the Local: Dynamic Inconsistency Learning for DeepFake Video Detection, AAAI 2022: Paper
- Deepfake video detection with spatiotemporal dropout transformer, ACM MM 2022: Paper
- Exploring Complementarity of Global and Local Spatiotemporal Information for Fake Face Video Detection, ICASSP 2022: Paper
- Face Forgery Detection Based on Facial Region Displacement Trajectory Series, arXiv 2022: Paper
- Do You Really Mean That? Content Driven Audio-Visual Deepfake Dataset and Multimodal Method for Temporal Forgery Localization, arXiv 2022: Paper
- Exploring Temporal Coherence for More General Video Face Forgery Detection, ICCV 2021: Paper
- Detecting Deepfake Videos with Temporal Dropout 3DCNN, IJCAI 2021: Paper
- Video Transformer for Deepfake Detection with Incremental Learning, ACM MM 2021: Paper
- FSSPOTTER: Spotting Face-Swapped Video by Spatial and Temporal Clues, ICME 2020: Paper
- Deepfake Video Detection Based on Spatial, Spectral, and Temporal Inconsistencies Using Multimodal Deep Learning, AIPR 2020: Paper
- FrePGAN: Robust Deepfake Detection Using Frequency-level Perturbations, AAAI 2022: Paper
- Exploiting Fine-grained Face Forgery Clues via Progressive Enhancement Learning, AAAI 2022: Paper
- Wavelet-enhanced Weakly Supervised Local Feature Learning for Face Forgery Detection, ACM MM 2022: Paper
- Wavelet-Packets for Deepfake Image Analysis and Detection, Machine Learning 2022: Paper Github
- Generalizing Face Forgery Detection with High-frequency Features, CVPR 2021: Paper
- ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images, AAAI 2021: Paper
- Local Relation Learning for Face Forgery Detection, AAAI 2021: Paper
- Fighting Deepfakes by Detecting GAN DCT Anomalies, Journal of Imaging 2021: Paper
- MD-CSDNetwork: Multi-Domain Cross Stitched Network for Deepfake Detection, FG 2021: Paper
- Using Grayscale Frequency Statistic to Detect Manipulated Faces in Wavelet-Domain, SMC 2021: Paper Github
- Deepfake Video Detection Based on Spatial, Spectral, and Temporal Inconsistencies Using Multimodal Deep Learning, AIPR 2020: Paper
- Effective and Fast DeepFake Detection Method Based on Haar Wavelet Transform, CSASE 2020: Paper
- Generalized Facial Manipulation Detection with Edge Region Feature Extraction, WACV 2022: Paper
- Supervised Contrastive Learning for Generalizable and Explainable DeepFakes Detection, WACV 2022: Paper Github
- Towards Generalizable Detection of Face Forgery via Self-Guided Model-Agnostic Learning, PRL 2022: Paper
- Learning to mask: Towards generalized face forgery detection, arXiv 2022: Paper
- FReTAL: Generalizing Deepfake Detection using Knowledge Distillation and Representation Learning, CVPR 2021: Paper
- Detection of Fake and Fraudulent Faces via Neural Memory Networks, TIFS 2021: Paper
- One detector to rule them all: Towards a general deepfake attack detection framework, Proceedings of the Web Conference 2021: Paper Github
- Supervised Contrastive Learning for Generalizable and Explainable DeepFakes Detection, WACV 2021: Paper Github
- Improving Generalization of Deepfake Detection with Domain Adaptive Batch Normalization, Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia 2021: Paper
- FeatureTransfer: Unsupervised Domain Adaptation for Cross-Domain Deepfake Detection, Security and Communication Networks 2021: Paper
- Training Strategies and Data Augmentations in CNN-based DeepFake Video Detection, WIFS 2020: Paper
- Improved Generalizability of Deep-Fakes Detection Using Transfer Learning Based CNN Framework, ICICT 2020: Paper
- ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection, arXiv 2018: Paper
- Explaining Deepfake Detection by Analysing Image Matching, ECCV 2022: Paper
- Detecting and Recovering Sequential DeepFake Manipulation, ECCV 2022: Paper Github
- Quantitative Metrics for Evaluating Explanations of Video DeepFake Detectors, arXiv 2022: Paper
- Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes, WACV 2021: Paper
- Supervised Contrastive Learning for Generalizable and Explainable DeepFakes Detection, WACV 2021: Paper Github
- Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes, WACV 2021: Paper
- What’s wrong with this video? Comparing Explainers for Deepfake Detection, arXiv 2021: Paper
- PRRNet: Pixel-Region relation network for face forgery detection, Pattern Recognition 2021: Paper
- What makes fake images detectable? Understanding properties that generalize, arXiv 2020: Paper Github
- Video Manipulations Beyond Faces: A Dataset with Human-Machine Analysis, WACV 2023: Paper
- Understanding Users’ Deepfake Video Verification Strategies, International Conference on Human-Computer Interaction 2022: Paper
- Crowd–powered Face Manipulation Detection: Fusing Human Examiner Decisions, arXiv 2022: Paper
- Deepfake Caricatures: Amplifying attention to artifacts increases deepfake detection by humans and machines, arXiv 2022: Paper
- Region-Aware Temporal Inconsistency Learning for DeepFake Video Detection, IJCAI 2022: Paper
- Exposing Face Forgery Clues via Retinex-based Image Enhancement, ACCV 2022: Paper
- Exploring Spatial-Temporal Features for Deepfake Detection and Localization, arXiv 2022: Paper Github
- DeepFake Detection Based on Discrepancies Between Faces and their Context, TPAMI 2021: Paper
- Dlfmnet: End-to-end detection and localization of face manipulation using multi-domain features, ICME 2021: Paper
- Face X-ray for More General Face Forgery Detection, CVPR 2020: Paper
- Multi-task Learning For Detecting and Segmenting Manipulated Facial Images and Videos, BATS 2019: Paper
- M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection, ICMR 2022: Paper
- Voice-Face Homogeneity Tells Deepfake, arXiv 2022: Paper
- Audio-Visual Person-of-Interest DeepFake Detection, arXiv 2022: Paper Github
- Do You Really Mean That? Content Driven Audio-Visual Deepfake Dataset and Multimodal Method for Temporal Forgery Localization, arXiv 2022: Paper
- Lip Sync Matters: A Novel Multimodal Forgery Detector, APSIPA 2022: Paper
- Multimodal Forgery Detection Using Ensemble Learning, APSIPA 2022: Paper
- Deepfake Video Detection Based on Spatial, Spectral, and Temporal Inconsistencies Using Multimodal Deep Learning, AIPR 2020: Paper
- Benchmarking Joint Face Spoofing and Forgery Detection with Visual and Physiological Cues, arXiv 2022: Paper
- Visual Representations of Physiological Signals for Fake Video Detection, arXiv 2022: Paper
- Study of detecting behavioral signatures within DeepFake videos, arXiv 2022: Paper
- Detecting Deep-Fake Videos from Aural and Oral Dynamics, CVPR Workshop 2021: Paper
- Countering Spoof: Towards Detecting Deepfake with Multidimensional Biological Signals, Security and Communication Networks 2021: Paper
- A Study on Effective Use of BPM Information in Deepfake Detection, ICTC 2021: Paper
- Exposing Deepfake with Pixel-wise Autoregressive and PPG Correlation from Faint Signals, arXiv 2021: Paper
- FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals, TPAMI 2020: Paper
- How Do the Hearts of Deep Fakes Beat? Deep Fake Source Detection via Interpreting Residuals with Biological Signals, IJCB 2020: Paper
- DeepFakesON-Phys: DeepFakes Detection based on Heart Rate Estimation, arXiv 2020: Paper Github
- Predicting Heart Rate Variations of Deepfake Videos using Neural ODE, ICCV Workshop 2019: Paper
- GBDF: Gender Balanced DeepFake Dataset Towards Fair DeepFake Detection, ICPR 2022: Paper Github
- A Comprehensive Analysis of AI Biases in DeepFake Detection With Massively Annotated Databases, arXiv 2022: Paper Github
- An Examination of Fairness of AI Models for Deepfake Detection, IJCAI 2021: Paper
- Responsible Disclosure of Generative Models Using Scalable Fingerprinting, ICLR 2022: Paper Github
- DeepFake Disrupter: The Detector of DeepFake Is My Friend, CVPR 2022: Paper
- FingerprintNet: Synthesized Fingerprints for Generated Image Detection, ECCV 2022: Paper
- CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes, AAAI 2022: Paper Github
- Defeating DeepFakes via Adversarial Visual Reconstruction, ACM MM 2022: Paper
- DeepFakes for Privacy: Investigating the Effectiveness of State-of-the-Art Privacy-Enhancing Face Obfuscation Methods, Proceedings of the 2022 International Conference on Advanced Visual Interfaces 2022: Paper
- Metamorphic Testing-based Adversarial Attack to Fool Deepfake Detectors, ICPR 2022: Paper
- FaceSigns: Semi-Fragile Neural Watermarks for Media Authentication and Countering Deepfakes, arXiv 2022: Paper Github
- Anti-Forgery: Towards a Stealthy and Robust DeepFake Disruption Attack via Adversarial Perceptual-aware Perturbations, arXiv 2022: Paper Github
- System Fingerprints Detection for DeepFake Audio: An Initial Dataset and Investigation, arXiv 2022: Paper
- Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data, ICCV 2021: Paper Github
- FaceGuard: Proactive Deepfake Detection, CoRR 2021: Paper
- TI2Net: Temporal Identity Inconsistency Network for Deepfake Detection, WACV 2023: Paper
- Protecting Celebrities from DeepFake with Identity Consistency Transformer, CVPR 2022: Paper Github
- Protecting World Leader Using Facial Speaking Pattern Against Deepfakes, IEEE Signal Processing Letters 2022: Paper
- Protecting world leaders against deep fakes using facial, gestural, and vocal mannerisms, Proceedings of the National Academy of Sciences 2022: Paper
- Study of detecting behavioral signatures within DeepFake videos, arXiv 2022: Paper
- Voice-Face Homogeneity Tells Deepfake, arXiv 2022: Paper
- Audio-Visual Person-of-Interest DeepFake Detection, arXiv 2022: Paper Github
- Detecting Deep-Fake Videos from Aural and Oral Dynamics, CVPR Workshop 2021: Paper
- ID-Reveal: Identity-aware DeepFake Video Detection, ICCV 2021: Paper Github
- This Face Does Not Exist... But It Might Be Yours! Identity Leakage in Generative Models, WACV 2021: Paper
- An Experimental Evaluation on Deepfake Detection using Deep Face Recognition, ICCST 2021: Paper
- Detecting Deep-Fake Videos from Appearance and Behavior, WIFS 2020: Paper
- Identity-Driven DeepFake Detection, arXiv 2020: Paper
- Protecting World Leaders Against Deep Fakes, CVPR Workshop 2019: Paper
- Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection, CVPR 2022: Paper Github
- Exploring Frequency Adversarial Attacks for Face Forgery Detection, CVPR 2022: Paper
- TAFIM: Targeted Adversarial Attacks against Facial Image Manipulations, ECCV 2022: Paper Github
- Anti-Forgery: Towards a Stealthy and Robust DeepFake Disruption Attack via Adversarial Perceptual-aware Perturbations, IJCAI 2022: Paper Github
- Investigate Evolutionary Strategies for Black-box Attacks to Deepfake Forensic Systems, SoICT 2022: Paper
- Evaluating Robustness of Sequence-based Deepfake Detector Models by Adversarial Perturbation, WDC 2022: Paper
- Restricted Black-box Adversarial Attack Against DeepFake Face Swapping, CoRR 2022: Paper
- A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials, WACV 2023: Paper
- Robust Image Forgery Detection Against Transmission Over Online Social Networks, TIFS 2022: Paper Github
- Am I a Real or Fake Celebrity? Evaluating Face Recognition and Verification APIs under Deepfake Impersonation Attack, Proceedings of the ACM Web Conference 2022: Paper Github
- DeSI: Deepfake Source Identifier for Social Media, CVPR Workshop 2022: Paper
- Investigate Evolutionary Strategies for Black-box Attacks to Deepfake Forensic Systems, SoICT 2022: Paper
- Seeing is Living? Rethinking the Security of Facial Liveness Verification in the Deepfake Era, CoRR 2022: Paper
- DeFakePro: Decentralized DeepFake Attacks Detection using ENF Authentication, arXiv 2022: Paper
- DF-Captcha: A Deepfake Captcha for Preventing Fake Calls, arXiv 2022: Paper
- Practical Deepfake Detection: Vulnerabilities in Global Contexts, arXiv 2022: Paper
- My Face My Choice: Privacy Enhancing Deepfakes for Social Media Anonymization, arXiv 2022: Paper
- Preventing DeepFake Attacks on Speaker Authentication by Dynamic Lip Movement Analysis, TIFS 2021: Paper Github
- Real, Forged or Deep Fake? Enabling the Ground Truth on the Internet, IEEE Access 2021: Paper
- DeepFake-o-meter: An Open Platform for DeepFake Detection, SP Workshop 2021: Paper
- Towards Untrusted Social Video Verification to Combat Deepfakes via Face Geometry Consistency, CVPR Workshop 2020: Paper
- Self-Supervised Video Forensics by Audio-Visual Anomaly Detection, arXiv 2023: Paper Github
- Learning Second Order Local Anomaly for General Face Forgery Detection, CVPR 2022: Paper
- SeeABLE: Soft Discrepancies and Bounded Contrastive Learning for Exposing Deepfakes, arXiv 2022: Paper
- Differential Anomaly Detection for Facial Images, WIFS 2021: Paper
- Fighting Deepfakes by Detecting GAN DCT Anomalies, Journal of Imaging 2021: Paper
- Self-Supervised Video Forensics by Audio-Visual Anomaly Detection, arXiv 2023: Paper Github
- End-to-End Reconstruction-Classification Learning for Face Forgery Detection, CVPR 2022: Paper
- Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detection, CVPR 2022: Paper
- UIA-ViT: Unsupervised Inconsistency-Aware Method based on Vision Transformer for Face Forgery Detection, ECCV 2022: Paper
- Dual Contrastive Learning for General Face Forgery Detection, AAAI 2022: Paper
- Self-supervised Transformer for Deepfake Detection, arXiv 2022: Paper
- MagDR: Mask-guided Detection and Reconstruction for Defending Deepfakes, CVPR 2021: Paper
- DeepfakeUCL: Deepfake Detection via Unsupervised Contrastive Learning, IJCNN 2021: Paper
- Deepfake videos detection using self-supervised decoupling network, ICME 2021: Paper
- Detecting Deep-Fake Videos from Appearance and Behavior, WIFS 2020: Paper
- Deepfake Network Architecture Attribution, AAAI 2022: Paper Github
- Model Attribution of Face-swap Deepfake Videos, ICIP 2022: Paper
- On the Exploitation of Deepfake Model Recognition, CVPR Workshop 2022: Paper
- Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data, ICCV 2021: Paper Github
- Towards Discovery and Attribution of Open-world GAN Generated Images, ICCV 2021: Paper
- Improving Generalization of Deepfake Detection by Training for Attribution, MMSP 2021: Paper
- How Do the Hearts of Deep Fakes Beat? Deep Fake Source Detection via Interpreting Residuals with Biological Signals, IJCB 2020: Paper
- Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints, ICCV 2019: Paper
- On Attribution of Deepfakes, arXiv 2020: Paper
- Scalable Fine-grained Generated Image Classification Based on Deep Metric Learning, CoRR 2019: Paper
- Three-classification Face Manipulation Detection Using Attention-based Feature Decomposition, Computers & Security 2022: Paper
- Forgery-Domain-Supervised Deepfake Detection with Non-Negative Constraint, IEEE Signal Processing Letters 2022: Paper
- FedForgery: Generalized Face Forgery Detection with Residual Federated Learning, arXiv 2022: Paper Github