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Deepfakes Detection Papers

The papers of Deepfakes Detection.

1. Traditional Image Forensics

  • Error Level Analysis
  • Noiseprint: A CNN-Based Camera Model Fingerprint, arXiv 2018
  • Camera-based Image Forgery Localization using Convolutional Neural Networks, arXiv 2018
  • Learning Rich Features for Image Manipulation Detection, CVPR 2018
  • Extracting camera-based fingerprints for video forensics, CVPRW 2019
  • Image forgery detection, arXiv 2019

2. Artifacts

2.1 Visual Artifacts

  • Exposing deepfake videos by detecting face warping artifacts, CVPRW 2019
  • Exploiting visual artifacts to expose deepfakes and face manipulations, WACVW 2019
  • Identification of deep network generated images using disparities in color components, arXiv 2018
  • Detection GAN-Generated Imagery Using Saturation Cues, ICIP 2019
  • DeepFake Detection Based on Discrepancies Between Faces and their Context, arXiv 2020
  • Exposing GAN-generated faces using inconsistent corneal specular highlights, arXiv 2020

2.2 GAN Noises

  • Identification of deep network generated images using disparities in color components, arXiv 2018
  • Detecting GAN generated fake images using co-occurrence matrices, Electronic Imaging 2019
  • On the generalization of GAN image forensics, CCBR 2019
  • Detecting gan-generated imagery using color cues, arXiv 2018
  • Do gans leave artificial fingerprints, MIPR 2019
  • Attributing fake images to gans: Learning and analyzing gan fingerprints, ICCV 2019
  • AutoGAN: Detecting and Simulating Artifacts in GAN Fake Images, WIFS 2019
  • Unmasking DeepFakes with simple Features, arXiv 2019
  • Fake Generated Painting Detection via Frequency Analysis, arXiv 2020
  • Leveraging Frequency Analysis for Deep Fake Image Recognition, arXiv 2020
  • Manipulated Face Detector: Joint Spatial and Frequency Domain Attention Network, arXiv 2020
  • Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues, ECCV 2020
  • DeepFake Detection by Analyzing Convolutional Traces, CVPRW 2020
  • Fighting Deepfake by Exposing the Convolutional Traces on Images, arXiv 2020
  • CNN Detection of GAN-Generated Face Images based on Cross-Band Co-occurrences Analysis, WIFS 2020
  • CNN-generated images are surprisingly easy to spot... for now, CVPR 2020
  • Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions, CVPR 2020

2.3 Physiological Signs

  • Exposing deep fakes using inconsistent head poses, ICASSP 2019
  • Exposing gan-synthesized faces using landmark locations, IHMS Workshop 2019
  • Exposing ai created fake videos by detecting eye blinking, WIFS 2018
  • Predicting Heart Rate Variations of Deepfake Videos using Neural ODE, ICCVW 2019
  • Detecting Deep-Fake Videos from Appearance and Behavior, arXiv 2020
  • FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals, arXiv 2019
  • Emotions Don't Lie: A Deepfake Detection Method using Audio-Visual Affective Cues, arXiv 2020
  • Detecting Deep-Fake Videos from Phoneme-Viseme Mismatches, CVPRW 2020
  • DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms, arXiv 2020
  • Not made for each other: Audio-Visual Dissonance-based Deepfake Detection and Localization, arXiv 2020
  • How Do the Hearts of Deep Fakes Beat? Deep Fake Source Detection via Interpreting Residuals with Biological Signals, arXiv 2020
  • DeepFakesON-Phys: DeepFakes Detection based on Heart Rate Estimation, arXiv 2020

3 Data Driven

3.1 Image-level

  • Mesonet: a compact facial video forgery detection network, WIFS 2018
  • Faceforensics++: Learning to detect manipulated facial images, ICCV 2019
  • Complement face forensic detection and localization with facia llandmarks, arXiv 2019
  • Capsule-forensics: Using capsule networks to detect forged images and videos, ICASSP 2019
  • Fake faces identification via convolutional neural network, IHMS Workshop 2018
  • Swapped face detection using deep learning and subjective assessment, arXiv 2019
  • Multi-task learning for detecting and segmenting manipulated facial images and videos, arXiv 2019
  • Learning to detect fake face images in the wild, IS3C 2018
  • Deep fake image detection based on pairwise learning, Applied Sciences 2020
  • Detecting Deepfakes with Metric Learning, arXiv 2020
  • Deep learning based computer generated face identification using convolutional neural network, Applied Sciences 2018
  • A deep learning approach to universal image manipulation detection using a new convolutional layer, IHMS Workshop 2016
  • On the detection of digital face manipulation, CVPR 2020
  • Distinguishing computer graphics from natural images using convolution neural networks, WIFS 2017
  • Fighting Against Deepfake: Patch&Pair Convolutional Neural Networks (PPCNN), CPWC 2020
  • Extracting deep local features to detect manipulated images of human faces, arXiv 2019
  • Complement Face Forensic Detection and Localization with Facial Landmarks, arXiv 2019

3.2 Video-level

  • Protecting world leaders against deep fakes, CVPRW 2019
  • Deepfake Video Detection through Optical Flow based CNN, ICCVW 2018
  • Deepfake video detection using recurrent neural networks, AVSS 2018
  • Recurrent convolutional strategies for face manipulation detection in videos, Interfaces 2019
  • Intra-frame and temporal inconsistencies, AVSS 2018
  • Deepfakes Detection with Automatic Face Weighting, CVPRW 2020
  • Deepfake Detection using Spatiotemporal Convolutional Networks, arXiv 2020
  • Sharp Multiple Instance Learning for DeepFake Video Detection, MM 2020
  • A Convolutional LSTM based Residual Network for Deepfake Video Detection, arXiv 2020
  • Exploiting Human Social Cognition for the Detection of Fake and Fraudulent Faces via Memory Networks, arXiv 2019
  • Two-branch Recurrent Network for Isolating Deepfakes in Videos, ECCV 2020
  • SSTNet: Detecting Manipulated Faces Through Spatial, Steganalysis and Temporal Features, ICASSP 2020

3.3 Generalizability

  • ForensicTransfer: Weakly-supervised domain adaptation for forgery detection, arXiv 2018
  • Towards generalizable forgery detection with locality-aware autoencoder, arXiv 2019
  • Incremental learning for the detection and classification of GAN-generated images, arXiv 2019
  • CNN-generated images are surprisingly easy to spot... for now, arXiv 2019[Code]
  • Face X-ray for More General Face Forgery Detection, CVPR 2020
  • Detecting CNN-Generated Facial Images in Real-World Scenarios, CVPRW 2020
  • OC-FakeDect: Classifying Deepfakes Using One-class Variational Autoencoder, CVPRW 2020
  • T-GD: Transferable GAN-generated Images Detection Framework, ICML 2020 [Code]
  • Exposing Deep-faked Videos by Anomalous Co-motion Pattern Detection, arXiv 2020
  • Spatio-temporal Features for Generalized Detection of Deepfake Videos, arXiv 2020
  • Mining Generalized Features for Detecting AI-Manipulated Fake Faces, arXiv 2020
  • Fake Face Detection Methods: Can They Be Generalized?, arXiv 2020
  • What makes fake images detectable? Understanding properties that generalize, ECCV 2020
  • One-Shot GAN Generated Fake Face Detection, arXiv 2020

4 Anti-spoofing

  • Security of Facial Forensics Models Against Adversarial Attacks, arXiv 2019
  • Real or Fake? Spoofing State-Of-The-Art Face Synthesis Detection Systems, arXiv 2019
  • Adversarial Perturbations Fool Deepfake Detectors, IJCNN 2020 [Code]
  • Disrupting DeepFakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems, arXiv 2020 [Code]
  • Evading Deepfake-Image Detectors with White- and Black-Box Attacks, arXiv 2020
  • Defending against GAN-based Deepfake Attacks via Transformation-aware Adversarial Faces, arXiv 2020
  • Disrupting Deepfakes with an Adversarial Attack that Survives Training, arXiv 2020
  • FakePolisher: Making DeepFakes More Detection-Evasive by Shallow Reconstruction, arXiv 2020
  • Protecting Against Image Translation Deepfakes by Leaking Universal Perturbations from Black-Box Neural Networks, arXiv 2020
  • Not My Deepfake: Towards Plausible Deniability for Machine-Generated Media, arXiv 2020
  • FakeRetouch: Evading DeepFakes Detection via the Guidance of Deliberate Noise, arXiv 2020

5 Others

Note: Papers under this category are difficult to classify finely or are not yet read.

  • Two-Stream Neural Networks for Tampered Face Detection, CVPRW 2017
  • Fakespotter: A simple baseline for spotting ai-synthesized fake faces, IJCAI 2020
  • Automated face swapping and its detection , ICSIP 2017
  • Detection of GAN-Generated Fake Images over Social Networks, MIPR 2018
  • Limits of Deepfake Detection: A Robust Estimation Viewpoint, arXiv 2019
  • “Deep Fakes” using Generative Adversarial Networks (GAN)
  • Zooming into Face Forensics: A Pixel-level Analysis, arXiv 2019
  • Deep Face Forgery Detection, arXiv 2020
  • Towards Untrusted Social Video Verification to Combat Deepfakes via Face Geometry Consistency, CVPRW 2020
  • Can Forensic Detectors Identify GAN Generated Images, APSIPA 2018
  • Detecting Both Machine and Human Created Fake Face Images In the Wild, MPS 2018
  • Detection of Deepfake Video Manipulation, IMVIP 2018
  • Secure detection of image manipulation by means of random feature selection, TIFS 2019
  • Detection of Fake Images Via The Ensemble of Deep Representations from Multi Color Spaces, ICIP 2019
  • Face image manipulation detection based on a convolutional neural network, ESWA 2019
  • Detecting Face2Face Facial Reenactment in Videos, WACV 2020
  • FakeLocator: Robust Localization of GAN-Based Face Manipulations via Semantic Segmentation Networks with Bells and Whistles, arXiv 2020
  • FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning Network, arXiv 2020
  • Global Texture Enhancement for Fake Face Detection in the Wild, CVPR 2020
  • DeepFakes Evolution: Analysis of Facial Regions and Fake Detection Performance, arXiv 2020
  • Detecting Forged Facial Videos using convolutional neural network, arXiv 2020
  • Fake Face Detection via Adaptive Residuals Extraction Network, arXiv 2020
  • A Face Preprocessing Approach for Improved DeepFake Detection, arXiv 2020
  • Detection, Attribution and Localization of GAN Generated Images, arXiv 2020
  • Deep Detection for Face Manipulation, arXiv 2020
  • Interpretable Deepfake Detection via Dynamic Prototypes, arXiv 2020

6 Datasets

  • [FFW] Fake Face Detection Methods: Can They Be Generalized? , BIOSIG 2018 [Download]
  • [UADFV] In Ictu Oculi: Exposing AI created fake videos by detecting eye blinking , WIFS 2018 [Download]
  • [DeepfakeTIMIT] Deepfakes: a new threat to face recognition? assessment and detection, arXiv 2018 [Download]
  • [FaceForensics++ & DFD] FaceForensics++: Learning to Detect Manipulated Facial Images, ICCV 2019 [Download]
  • [Celeb-DF] Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics, CVPR 2020 [Download]
  • [DFFD (Diverse Fake Face Dataset)] On the detection of digital face manipulation, arXiv 2019
  • [DFDC (Deepfake Detection Challenge)] The Deepfake Detection Challenge (DFDC) Preview Dataset, arXiv 2019 [Download]
  • [DeeperForensics-1.0] DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection, CVPR 2020 [Download]

7. Challenge

8 Open Source


9 Surveys

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