2024 | arXiv | Other | Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach | - |
2024 | arXiv | Space Domain | Capture Artifacts via Progressive Disentangling and Purifying Blended Identities for Deepfake Detection | - |
2024 | arXiv | Multi-Modal | Harnessing Wavelet Transformations for Generalizable Deepfake Forgery Detection | Code |
2024 | arXiv | Space Domain | Herd Mentality in Augmentation - Not a Good Idea! A Robust Multi-stage Approach towards Deepfake Detection | Code |
2024 | arXiv | Space Domain | Shaking the Fake: Detecting Deepfake Videos in Real Time via Active Probes | - |
2024 | arXiv | Data Driven | Standing on the Shoulders of Giants: Reprogramming Visual-Language Model for General Deepfake Detection | - |
2024 | arXiv | Multi-Modal | Semantics-Oriented Multitask Learning for DeepFake Detection: A Joint Embedding Approach | - |
2024 | arXiv | Space Domain | Open-Set Deepfake Detection: A Parameter-Efficient Adaptation Method with Forgery Style Mixture | - |
2024 | arXiv | Space Domain | UniForensics: Face Forgery Detection via General Facial Representation | - |
2024 | arXiv | Benchmark | DF40: Toward Next-Generation Deepfake Detection | - |
2024 | arXiv | Space Domain | Adversarial Magnification to Deceive Deepfake Detection through Super Resolution | Code |
2024 | arXiv | Space Domain | In Anticipation of Perfect Deepfake: Identity-anchored Artifact-agnostic Detection under Rebalanced Deepfake Detection Protocol | Code |
2024 | arXiv | Time Domain | Lips Are Lying: Spotting the Temporal Inconsistency between Audio and Visual in Lip-Syncing DeepFakes | Code |
2024 | arXiv | Frequency Domain | FreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledge | - |
2024 | arXiv | Space Domain | MoE-FFD: Mixture of Experts for Generalized and Parameter-Efficient Face Forgery Detection | - |
2024 | arXiv | Multi-Modal | Towards More General Video-based Deepfake Detection through Facial Feature Guided Adaptation for Foundation Model | - |
2024 | arXiv | Data Driven | D3: Scaling Up Deepfake Detection by Learning from Discrepancy | - |
2024 | arXiv | Space Domain | Band-Attention Modulated RetNet for Face Forgery Detection | - |
2024 | arXiv | Space Domain | Diffusion Facial Forgery Detection | - |
2024 | arXiv | Space Domain | Masked Conditional Diffusion Model for Enhancing Deepfake Detection | - |
2024 | arXiv | Data Driven | Towards General Deepfake Detection with Dynamic Curriculum | - |
2024 | IJIS | Multi-Modal | Deepfake Detection Based on the Adaptive Fusion of Spatial-Frequency Features | - |
2024 | NN | Space Domain | Towards generalizable face forgery detection via mitigating spurious correlation | - |
2024 | ACM MM | Other | LampMark: Proactive Deepfake Detection via Training-Free Landmark Perceptual Watermarks | - |
2024 | ACM MM | Multi-Modal | Vigo: Audiovisual Fake Detection and Segment Localization | - |
2024 | ACM MM | Multi-Modal | Building Robust Video-Level Deepfake Detection via Audio-Visual Local-Global Interactions | - |
2024 | NIPS | Data Driven | DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion | Code |
2024 | NIPS | Other | A Hitchhikers Guide to Fine-Grained Face Forgery Detection Using Common Sense Reasoning | Code |
2024 | ICIP | Space Domain | Deepfake Detection Via Separable Self-Consistency Learning | - |
2024 | ICIP | Space Domain | Deepfake Detection With Combined Unsupervised-Supervised Contrastive Learning | - |
2024 | CVPR | Data Driven | Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection | - |
2024 | CVPR | Space Domain | Rethinking the Up-Sampling Operations in CNN-based Generative Network for Generalizable Deepfake Detection | Code |
2024 | CVPR | Space Domain | PUDD: Towards Robust Multi-modal Prototype-based Deepfake Detection | - |
2024 | CVPR | Space Domain | Faster Than Lies: Real-time Deepfake Detection using Binary Neural Networks | Code |
2024 | CVPR | Space Domain | Exploiting Style Latent Flows for Generalizing Deepfake Video Detection | - |
2024 | CVPR | Multi-Modal | AVFF: Audio-Visual Feature Fusion for Video Deepfake Detection | - |
2024 | CVPR | Space Domain | LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detection | Code |
2024 | CVPR | Time Domain | Temporal Surface Frame Anomalies for Deepfake Video Detection | - |
2024 | IJCV | Frequency Domain | Test-time Forgery Detection with Spatial-Frequency Prompt Learning | - |
2024 | IJCV | Frequency Domain | WATCHER: Wavelet-Guided Texture-Content Hierarchical Relation Learning for Deepfake Detection | - |
2024 | IJCV | Frequency Domain | SA<sup>3</sup>WT: Adaptive Wavelet-Based Transformer with Self-Paced Auto Augmentation for Face Forgery Detection | - |
2024 | ICME | Space Domain | Counterfactual Explanations for Face Forgery Detection via Adversarial Removal of Artifacts | Code |
2024 | TPAMI | Multi-Modal | Detecting and Grounding Multi-Modal Media Manipulation and Beyond | Code |
2024 | TMM | Space Domain | IEIRNet: Inconsistency Exploiting Based Identity Rectification for Face Forgery Detection | - |
2024 | ICASSP | Multi-Modal | Exploiting Modality-Specific Features for Multi-Modal Manipulation Detection and Grounding | - |
2024 | ICASSP | Space Domain | Selective Domain-Invariant Feature for Generalizable Deepfake Detection | - |
2024 | ICASSP | Data Driven | Adapter-Based Incremental Learning for Face Forgery Detection | - |
2024 | MMM | Space Domain | Face Forgery Detection via Texture and Saliency Enhancement | - |
2024 | MMM | Space Domain | Adapting Pretrained Large-Scale Vision Models for Face Forgery Detection | - |
2024 | TIFS | Other | Improving Generalization of Deepfake Detectors by Imposing Gradient Regularization | - |
2024 | TIFS | Space Domain | Learning to Discover Forgery Cues for Face Forgery Detection | - |
2024 | TIFS | Time Domain | Where Deepfakes Gaze at? Spatial-Temporal Gaze Inconsistency Analysis for Video Face Forgery Detection | Code |
2024 | IJCV | Time Domain | Learning Spatiotemporal Inconsistency via Thumbnail Layout for Face Deepfake Detection | Code |
2024 | NAACL | Time Domain | Heterogeneity over Homogeneity: Investigating Multilingual Speech Pre-Trained Models for Detecting Audio Deepfake | - |
2024 | CVPR | Time Domain | Exploiting Style Latent Flows for Generalizing Deepfake Detection Video Detection | - |
2024 | AAAI | Frequency Domain | Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Domain Learning | Code |
2024 | AAAI | Space Domain | Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection | Code |
2024 | WACV | Space Domain | Deepfake Detection by Exploiting Surface Anomalies: The SurFake Approach | - |
2024 | WACV | Time Domain | VideoFACT: Detecting Video Forgeries Using Attention, Scene Context, and Forensic Traces | Code |
2024 | WACV | Space Domain | Weakly-supervised deepfake localization in diffusion-generated images | Code |
2023 | arXiv | Time Domain | AV-Lip-Sync+: Leveraging AV-HuBERT to Exploit Multimodal Inconsistency for Video Deepfake Detection | - |
2023 | CVPR | Data Driven | Implicit Identity Driven Deepfake Face Swapping Detection | - |
2023 | TMM | Data Driven | Narrowing Domain Gaps with Bridging Samples for Generalized Face Forgery Detection | - |
2023 | CVPR | Data Driven | Hierarchical Fine-Grained Image Forgery Detection and Localization | Code |
2023 | CVPR | Time Domain | Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection | Code |
2023 | ICCV | Data Driven | Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning | - |
2023 | ICCV | Data Driven | Quality-Agnostic Deepfake Detection with Intra-model Collaborative Learning | - |
2023 | TIFS | Frequency Domain | Constructing New Backbone Networks via Space-Frequency Interactive Convolution for Deepfake Detection | Code |
2023 | ICCV | Data Driven | Controllable Guide-Space for Generalizable Face Forgery Detection | - |
2023 | AAAI | Space Domain | Noise Based Deepfake Detection via Multi-Head Relative-Interaction | - |
2023 | TIFS | Time Domain | Dynamic Difference Learning With Spatio–Temporal Correlation for Deepfake Video Detection | - |
2023 | TIFS | Time Domain | Masked Relation Learning for DeepFake Detection | Code |
2023 | CVPR | Time Domain | Audio-Visual Person-of-Interest DeepFake Detection | Code |
2023 | CVPR | Time Domain | Self-Supervised Video Forensics by Audio-Visual Anomaly Detection | Code |
2023 | Applied Soft Computing | Time Domain | AVFakeNet: A unified end-to-end Dense Swin Transformer deep learning model for audio–visual deepfakes detection | - |
2023 | TCSVT | Time Domain | PVASS-MDD: Predictive Visual-audio Alignment Self-supervision for Multimodal Deepfake Detection | - |
2023 | TIFS | Time Domain | AVoiD-DF: Audio-Visual Joint Learning for Detecting Deepfake | - |
2023 | TIFS | Space Domain | Beyond the Prior Forgery Knowledge: Mining Critical Clues for General Face Forgery Detection | Code |
2022 | TIFS | Space Domain | FakeLocator: Robust Localization of GAN-Based Face Manipulations | - |
2022 | CVPR | Space Domain | Detecting Deepfakes with Self-Blended Images | Code |
2022 | CVPR | Space Domain | End-to-End Reconstruction-Classification Learning for Face Forgery Detection | Code |
2022 | ECCV | Space Domain | Explaining Deepfake Detection by Analysing Image Matching | - |
2022 | TIFS | Frequency Domain | Hierarchical Frequency-Assisted Interactive Networks for Face Manipulation Detection | - |
2022 | ICMR | Time Domain | M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection | Code |
2022 | AAAI | Time Domain | Delving into the Local: Dynamic Inconsistency Learning for DeepFake Video Detection | - |
2022 | CVPR | Time Domain | Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detection | Code |
2022 | AAAI | Data Driven | FInfer: Frame Inference-Based Deepfake Detection for High-Visual-Quality Videos | - |
2021 | CVPR | Space Domain | Multi-attentional Deepfake Detection | Code |
2021 | TPAMI | Space Domain | DeepFake Detection Based on Discrepancies Between Faces and their Context | - |
2021 | ICCV | Data Driven | Learning Self-Consistency for Deepfake Detection | - |
2021 | CVPR | Frequency Domain | Frequency-aware Discriminative Feature Learning Supervised by Single-Center Loss for Face Forgery Detection | - |
2021 | ICCV | Time Domain | Exploring Temporal Coherence for More General Video Face Forgery Detection | Code |
2021 | CVPR | Time Domain | Lips Don’t Lie: A Generalisable and Robust Approach to Face Forgery Detection | Code |
2021 | CVPR | Time Domain | Detecting Deep-Fake Videos from Aural and Oral Dynamics | - |
2020 | IJCAI | Data Driven | FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces | - |
2020 | CVPR | Space Domain | Global Texture Enhancement for Fake Face Detection in the Wild | Code |
2020 | CVPR | Data Driven | On the Detection of Digital Face Manipulation | Code |
2020 | Signal Processing | Space Domain | Identification of Deep Network Generated Images Using Disparities in Color Components | Code |
2020 | CVPR | Space Domain | Face X-ray for More General Face Forgery Detection | - |
2020 | ICML | Frequency Domain | Leveraging Frequency Analysis for Deep Fake Image Recognition | Code |
2020 | ECCV | Frequency Domain | Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues | - |
2020 | ECCV | Frequency Domain | Two-Branch Recurrent Network for Isolating Deepfakes in Videos | - |
2020 | ECCV | Space Domain | What makes fake images detectable? Understanding properties that generalize | Code |
2019 | ICIP | Space Domain | Detection of Fake Images Via The Ensemble of Deep Representations from Multi Color Spaces | - |
2019 | ICIP | Space Domain | Detecting GAN-Generated Imagery Using Saturation Cues | Code |
2019 | ICCV | Data Driven | Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints | Code |
2019 | CVPRW | Space Domain | Exposing DeepFake Videos By Detecting Face Warping Artifacts | Code |
2019 | ICASSP | Time Domain | Exposing deep fakes using inconsistent head poses | - |
2019 | ICASSP | Space Domain | Capsule-forensics: Using Capsule Networks to Detect Forged Images and Videos | Code |
2018 | WIFS | Data Driven | In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye Blinking | Code |