/awesome-deepfake-detection

awesome-deepfake-detection

Papers

CVPR

  • "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

  • "Voice-Face Homogeneity Tells Deepfake", 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

  • "DeepFakes Evolution: Analysis of Facial Regions and Fake Detection Performance", arXiv 2021: Paper

  • "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 Github

  • "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

ICCV

  • "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
  • "ID-Reveal: Identity-aware DeepFake Video Detection", ICCV 2021: Paper Github
  • "Joint Audio-Visual Deepfake Detection", ICCV 2021: Paper
  • "Learning Self-Consistency for 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

ECCV

  • "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

ICML

  • "Leveraging Frequency Analysis for Deep Fake Image Recognition", ICML 2020: Paper Github

IJCAI

  • "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
  • "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

AAAI

  • "Delving into the Local: Dynamic Inconsistency Learning for DeepFake Video Detection", AAAI 2022: Paper
  • "Deepfake Network Architecture Attribution", AAAI 2022: Paper
  • "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
  • "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

NIPS

  • "WaveFake: A Data Set to Facilitate Audio Deepfake Detection", NIPS 2021: Paper
  • "AOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection", NIPS 2020: Paper

ICLR

  • "Responsible Disclosure of Generative Models Using Scalable Fingerprinting", ICLR 2022: Paper

MM

  • "Evaluation of an Audio-Video Multimodal Deepfake Dataset using Unimodal and Multimodal Detectors", ACM MM 2021: Paper
  • "Spatiotemporal Inconsistency Learning for DeepFake Video Detection", ACM MM 2021: Paper
  • "Video Transformer for Deepfake Detection with Incremental Learning", ACM MM 2021: Paper
  • "Metric Learning for Anti-Compression Facial Forgery Detection", ACM MM 2021: Paper
  • "CoReD: Generalizing Fake Media Detection with Continual Representation using Distillation", ACM MM 2021: Paper
  • "FakeTagger: Robust Safeguards against DeepFake Dissemination via Provenance Tracking", ACM MM 2021: Paper
  • "FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset", ACM MM 2021 Workshop: Paper Github
  • "Not made for each other- Audio-Visual Dissonance-based Deepfake Detection and Localization", ACM MM 2020: Paper Github
  • "Sharp Multiple Instance Learning for DeepFake Video Detection", ACM MM 2020: Paper
  • "DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms", ACM MM 2020: Paper
  • "Emotions Don't Lie: An Audio-Visual Deepfake Detection Method using Affective Cues", ACM MM 2020: Paper

ICME

  • "DEEPFAKE VIDEOS DETECTION USING SELF-SUPERVISED DECOUPLING NETWORK", ICME 2021: Paper
  • "DLFMNET: END-TO-END DETECTION AND LOCALIZATION OF FACE MANIPULATION USING MULTI-DOMAIN FEATURES", ICME 2021: Paper Github
  • "DEFAKEHOP: A LIGHT-WEIGHT HIGH-PERFORMANCE DEEPFAKE DETECTOR", ICME 2021: Paper Github
  • "FSSPOTTER: Spotting Face-Swapped Video by Spatial and Temporal Clues", ICME 2020: Paper

TPAMI

  • "DeepFake Detection Based on Discrepancies Between Faces and their Context", TPAMI 2021: Paper
  • "FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals", TPAMI 2021: Paper

TIFS

  • "Detection of Fake and Fraudulent Faces via Neural Memory Networks", TIFS 2021: Paper
  • "Preventing DeepFake Attacks on Speaker Authentication by Dynamic Lip Movement Analysis", TIFS 2021: Paper

Other

  • "Metamorphic Testing-based Adversarial Attack to Fool Deepfake Detectors", ICPR 2022: 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
  • "Deepfake Caricatures: Amplifying attention to artifacts increases deepfake detection by humans and machines", arXiv 2022: Paper
  • "Seeing is Living? Rethinking the Security of Facial Liveness Verification in the Deepfake Era", arXiv 2022: Paper
  • "FaceSigns: Semi-Fragile Neural Watermarks for Media Authentication and Countering Deepfakes", arXiv 2022: Paper
  • "Do You Really Mean That? Content Driven Audio-Visual Deepfake Dataset and Multimodal Method for Temporal Forgery Localization", arXiv 2022: Paper
  • "Crowd–powered Face Manipulation Detection: Fusing Human Examiner Decisions", arXiv 2022: Paper
  • "Face Forgery Detection Based on the Improved Siamese Network", Security and Communication Networks 2022: Paper
  • "Audio-Visual Person-of-Interest DeepFake Detection", arXiv 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
  • "Improving Generalization of Deepfake Detection with Domain Adaptive Batch Normalization", Adversarial Learning for Multimedia 2021: Paper
  • "One Detector to Rule Them All: Towards a General Deepfake Attack Detection Framework", WWW 2021: Paper
  • "Deepfakes Generation and Detection: State-of-the-art, open challenges, countermeasures, and way forward", arXiv 2021: Paper
  • "MSTA-Net: Forgery Detection by Generating Manipulation Trace Based on Multi-scale Self-texture Attention", TCSVT 2021: Paper
  • "Training Strategies and Data Augmentations in CNN-based DeepFake Video Detection", WIFS 2020: Paper
  • "How Do the Hearts of Deep Fakes Beat? Deep Fake Source Detection via Interpreting Residuals with Biological Signals", IJCB 2020: Paper
  • "Deepfake Detection using Spatiotemporal Convolutional Networks", arXiv: Paper Github
  • "A Convolutional LSTM based Residual Network for Deepfake Video Detection", arXiv: Paper
  • "Spatio-temporal Features for Generalized Detection of Deepfake Videos", submitted to CVIU: Paper
  • "Exploiting Visual Artifacts to Expose Deepfakes and Face Manipulations", WACVW 2019: Paper
  • "Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes", WACV 2021: Paper
  • "MesoNet: a Compact Facial Video Forgery Detection Network", WIFS 2018: Paper Github
  • "Multi-task Learning For Detecting and Segmenting Manipulated Facial Images and Videos", BATS 2019: Paper
  • "Use of a Capsule Network to Detect Fake Images and Videos", arXiv: Paper
  • "What makes fake images detectable? Understanding properties that generalize", arXiv: Paper
  • "PRRNet: Pixel-Region relation network for face forgery detection", Pattern Recognition 2021: Paper
  • "ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection", arXiv: Paper
  • "Identity-Driven DeepFake Detection", CoRR 2020: Paper
  • "Detecting Deep-Fake Videos from Appearance and Behavior", WIFS 2020: Paper
  • "Exposing Fake Faces Through Deep Neural Networks Combining Content and Trace Feature Extractors", IEEE Access 2021: Paper
  • "FaceGuard: Proactive Deepfake Detection", CoRR 2021: Paper
  • "DeepFake-o-meter: An Open Platform for DeepFake Detection", SP Workshops 2021: Paper
  • "DeepfakeUCL: Deepfake Detection via Unsupervised Contrastive Learning", IJCNN 2021: Paper
  • "M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection", CoRR 2021: Paper