mlsanityData to 14 Oct 2026

LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detection

arXiv 2401.13856 ↗First posted 24 Jan 2024cs.CVcited by 89

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Abstract (arXiv)

This paper introduces a novel approach for high-quality deepfake detection called Localized Artifact Attention Network (LAA-Net). Existing methods for high-quality deepfake detection are mainly based on a supervised binary classifier coupled with an implicit attention mechanism. As a result, they do not generalize well to unseen manipulations. To handle this issue, two main contributions are made. First, an explicit attention mechanism within a multi-task learning framework is proposed. By combining heatmap-based and self-consistency attention strategies, LAA-Net is forced to focus on a few small artifact-prone vulnerable regions. Second, an Enhanced Feature Pyramid Network (E-FPN) is proposed as a simple and effective mechanism for spreading discriminative low-level features into the final feature output, with the advantage of limiting redundancy. Experiments performed on several benchmarks show the superiority of our approach in terms of Area Under the Curve (AUC) and Average Precision (AP). The code is available at https://github.com/10Ring/LAA-Net.

Key facts. Cited by 89 papers in the map (data through 14 Oct 2026). Builds on 31 of its 57 references that are in the map. First posted on arXiv 24 Jan 2024.

Builds on

31 of 57 references.

References · 31

  1. 2016Feature Pyramid Networks for Object Detectioncited by 5,036
  2. 2016Xception: Deep Learning with Depthwise Separable Convolutionscited by 2,332
  3. 2019FCOS: Fully Convolutional One-Stage Object Detectioncited by 1,577
  4. 2020Sharpness-Aware Minimization for Efficiently Improving Generalizationcited by 1,417
  5. 2017Random Erasing Data Augmentationcited by 1,239
  6. 2019FaceForensics++: Learning to Detect Manipulated Facial Imagescited by 1,101
  7. 2019When Does Label Smoothing Help?cited by 988
  8. 2018CornerNet: Detecting Objects as Paired Keypointscited by 763
  9. 2020Face2Face: Real-time Face Capture and Reenactment of RGB Videoscited by 632
  10. 2019Face X-ray for More General Face Forgery Detectioncited by 470
  11. 2018MesoNet: a Compact Facial Video Forgery Detection Networkcited by 409
  12. 2022Detecting Deepfakes with Self-Blended Imagescited by 338
19 more
  1. 2020Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detectioncited by 287
  2. 2017Pose Guided Person Image Generationcited by 251
  3. 2019The Deepfake Detection Challenge (DFDC) Preview Datasetcited by 209
  4. 2021WildDeepfake: A Challenging Real-World Dataset for Deepfake Detectioncited by 209
  5. 2018Capsule-Forensics: Using Capsule Networks to Detect Forged Images and Videoscited by 180
  6. 2023UCF: Uncovering Common Features for Generalizable Deepfake Detectioncited by 180
  7. 2020Learning Self-Consistency for Deepfake Detectioncited by 179
  8. 2022Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detectioncited by 173
  9. 2022Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detectioncited by 130
  10. 2022Implicit Identity Leakage: The Stumbling Block to Improving Deepfake Detection Generalizationcited by 123
  11. 2021Local Relation Learning for Face Forgery Detectioncited by 100
  12. 2021Combining EfficientNet and Vision Transformers for Video Deepfake Detectioncited by 82
  13. 2023AltFreezing for More General Video Face Forgery Detectioncited by 78
  14. 2023Zero-Shot Noise2Noise: Efficient Image Denoising without any Datacited by 61
  15. 2021Improving the Efficiency and Robustness of Deepfakes Detection through Precise Geometric Featurescited by 57
  16. 2022MARLIN: Masked Autoencoder for facial video Representation LearnINgcited by 57
  17. 2018Feature Pyramid Network for Multi-Class Land Segmentationcited by 24
  18. 2023Controllable Guide-Space for Generalizable Face Forgery Detectioncited by 21
  19. 2019FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Facescited by 12

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 16; 2025: 40; 2026: 33.

89 papers.

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  1. 2024SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Modelcited by 108
  2. 2024Generalizing Deepfake Video Detection with Plug-and-Play: Video-Level Blending and Spatiotemporal Adapter Tuningcited by 59
  3. 2025Rethinking Vision-Language Model in Face Forensics: Multi-Modal Interpretable Forged Face Detectorcited by 40
  4. 2024Towards More General Video-based Deepfake Detection through Facial Component Guided Adaptation for Foundation Modelcited by 38
  5. 2024X2-DFD: A framework for eXplainable and eXtendable Deepfake Detectioncited by 35
  6. 2024Fake It till You Make It: Curricular Dynamic Forgery Augmentations towards General Deepfake Detectioncited by 31
  7. 2024Standing on the Shoulders of Giants: Reprogramming Visual-Language Model for General Deepfake Detectioncited by 30
  8. 2024FSFM: A Generalizable Face Security Foundation Model via Self-Supervised Facial Representation Learningcited by 23
  9. 2024Towards a Universal Synthetic Video Detector: From Face or Background Manipulations to Fully AI-Generated Contentcited by 22
  10. 2025Unlocking the Capabilities of Large Vision-Language Models for Generalizable and Explainable Deepfake Detectioncited by 21
  11. 2025Deepfake Detection that Generalizes Across Benchmarkscited by 21
  12. 2026Your One-Stop Solution for AI-Generated Video Detectioncited by 15
38 more
  1. 2025From Specificity to Generality: Revisiting Generalizable Artifacts in Detecting Face Deepfakescited by 14
  2. 2025Do Deepfake Detectors Work in Reality?cited by 11
  3. 2025TalkingHeadBench: A Multi-Modal Benchmark & Analysis of Talking-Head DeepFake Detectioncited by 11
  4. 2026VideoVeritas: AI-Generated Video Detection via Perception Pretext Reinforcement Learningcited by 11
  5. 2024Deepfake Media Generation and Detection in the Generative AI Era: A Survey and Outlookcited by 10
  6. 2025Unlocking the Hidden Potential of CLIP in Generalizable Deepfake Detectioncited by 10
  7. 2025Vulnerability-Aware Spatio-Temporal Learning for Generalizable Deepfake Video Detectioncited by 9
  8. 2025Towards Generalizable AI-Generated Image Detection via Image-Adaptive Prompt Learningcited by 9
  9. 2024Semantic Contextualization of Face Forgery: A New Definition, Dataset, and Detection Methodcited by 8
  10. 2026Preserving Forgery Artifacts: AI-Generated Video Detection at Native Scalecited by 8
  11. 2024Open-Set Deepfake Detection: A Parameter-Efficient Adaptation Method with Forgery Style Mixturecited by 7
  12. 2026Robust Deepfake Detection, NTIRE 2026 Challenge: Reportcited by 6
  13. 2025Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuningcited by 5
  14. 2025Unleashing the Potential of Consistency Learning for Detecting and Grounding Multi-Modal Media Manipulationcited by 5
  15. 2025Pay Less Attention to Deceptive Artifacts: Robust Detection of Compressed Deepfakes on Online Social Networkscited by 5
  16. 2026On the Holistic Approach for Detecting Human Image Forgerycited by 5
  17. 2024Semantics-Oriented Multitask Learning for DeepFake Detection: A Joint Embedding Approachcited by 4
  18. 2025Audio-Visual Deepfake Detection With Local Temporal Inconsistenciescited by 4
  19. 2025Practical Manipulation Model for Robust Deepfake Detectioncited by 4
  20. 2025TriDF: Evaluating Perception, Detection, and Hallucination for Interpretable DeepFake Detectioncited by 4
  21. 2025WMamba: Wavelet-based Mamba for Face Forgery Detectioncited by 3
  22. 2025Detecting Localized Deepfake Manipulations Using Action Unit-Guided Video Representationscited by 3
  23. 2025SEED: A Benchmark Dataset for Sequential Facial Attribute Editing with Diffusion Modelscited by 3
  24. 2024Tex-ViT: A Generalizable, Robust, Texture-based dual-branch cross-attention deepfake detectorcited by 2
  25. 2024DFREC: DeepFake Identity Recovery Based on Identity-aware Masked Autoencodercited by 2
  26. 2025Unmasking Puppeteers: Leveraging Biometric Leakage to Expose Impersonation in AI-Based Videoconferencingcited by 2
  27. 2025Rethinking the Use of Vision Transformers for AI-Generated Image Detectioncited by 2
  28. 2026VRAG-DFD: Verifiable Retrieval-Augmentation for MLLM-based Deepfake Detectioncited by 2
  29. 2024Forensics Adapter: Unleashing CLIP for Generalizable Face Forgery Detectioncited by 1
  30. 2025Deepfake Detection via Knowledge Injectioncited by 1
  31. 2025Provenance Detection for AI-Generated Images: Combining Perceptual Hashing, Homomorphic Encryption, and AI Detection Modelscited by 1
  32. 2025AuthGuard: Generalizable Deepfake Detection via Language Guidancecited by 1
  33. 2025Trident: Detecting Face Forgeries with Adversarial Triplet Learningcited by 1
  34. 2025Unifying Locality of KANs and Feature Drift Compensation Projection for Data-free Replay based Continual Face Forgery Detectioncited by 1
  35. 2025Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentationcited by 1
  36. 2025FakeRadar: Probing Forgery Outliers to Detect Unknown Deepfake Videoscited by 1
  37. 2025NeXT-IMDL: Build Benchmark for NeXT-Generation Image Manipulation Detection & Localizationcited by 1
  38. 2026ExposeAnyone: Personalized Audio-to-Expression Diffusion Models Are Robust Zero-Shot Face Forgery Detectorscited by 1

50 most cited of 89 All 89 (JSON)

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  3. 2021ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images
  4. 2025SpecXNet: A Dual-Domain Convolutional Network for Robust Deepfake Detection
  5. 2025Multi-modal Deepfake Detection and Localization with FPN-Transformer
  6. 2026A Multi-Domain Feature Fusion Framework for Generalizable Deepfake Detection Across Different Generators
  7. 2026MSU Team at the Explainable Deepfake Detection Challenge 2026: Grounded Artifact Evidence for Deepfake Detection
  8. 2024Faster Than Lies: Real-time Deepfake Detection using Binary Neural Networks