FaceForensics++: Learning to Detect Manipulated Facial Images

Rossler, Andreas, Cozzolino, Davide, Verdoliva, Luisa, Riess, Christian, Thies, Justus, Niessner, Matthias·2019·2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Cited by (241)

Items 101–200 of 241

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  2. A Comprehensive Review of DeepFake Detection Using Advanced Machine Learning and Fusion Methods
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  3. TALL: Thumbnail Layout for Deepfake Video Detection
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  4. Do You Really Mean That? Content Driven Audio-Visual Deepfake Dataset and Multimodal Method for Temporal Forgery Localization
    Cai, Zhixi, Stefanov, Kalin, Dhall, Abhinav, Hayat, Munawar · 2022 · 2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
  5. DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection
    Yan, Zhiyuan, Zhang, Yong, Yuan, Xinhang, Lyu, Siwei, Wu, Baoyuan · 2023 · arXiv
  6. LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detection
    NGUYEN, Dat, MEJRI, Nesryne, SINGH, Inder Pal, KULESHOVA, Polina, ASTRID, Marcella, KACEM, Anis, GHORBEL, Enjie, AOUADA, Djamila · 2024 · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  7. Exploring Frequency Adversarial Attacks for Face Forgery Detection
    Jia, Shuai, Ma, Chao, Yao, Taiping, Yin, Bangjie, Ding, Shouhong, Yang, Xiaokang · 2022 · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  8. A Robust Approach to Multimodal Deepfake Detection
    Salvi, Davide, Liu, Honggu, Mandelli, Sara, Bestagini, Paolo, Zhou, Wenbo, Zhang, Weiming, Tubaro, Stefano · 2023 · Journal of Imaging
  9. Noise Based Deepfake Detection via Multi-Head Relative-Interaction
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  10. One Detector to Rule Them All: Towards a General Deepfake Attack Detection Framework
    Tariq, Shahroz, Lee, Sangyup, Woo, Simon · 2021 · Proceedings of the Web Conference 2021
  11. Warning: Humans cannot reliably detect speech deepfakes
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  12. Delving into the Local: Dynamic Inconsistency Learning for DeepFake Video Detection
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  13. DFDT: An End-to-End DeepFake Detection Framework Using Vision Transformer
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  14. Detecting fake images by identifying potential texture difference
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  15. A Comprehensive Survey on Passive Techniques for Digital Video Forgery Detection
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  16. Detecting DeepFake, FaceSwap and Face2Face facial forgeries using frequency CNN
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  17. The face deepfake detection challenge
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  18. Seeing is Believing: Exploring Perceptual Differences in DeepFake Videos
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  19. Detecting Deepfake Videos with Temporal Dropout 3DCNN
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  21. Fighting Fake News: Two Stream Network for Deepfake Detection via Learnable SRM
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  22. Mastering Deepfake Detection: A Cutting-Edge Approach to Distinguish GAN and Diffusion-Model Images
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  23. An efficient deepfake video detection using robust deep learning
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  25. Human Perception of Audio Deepfakes
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  26. iCaps-Dfake: An Integrated Capsule-Based Model for Deepfake Image and Video Detection
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  27. Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis
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  28. Deepfake forensics analysis: An explainable hierarchical ensemble of weakly supervised models
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  29. Fdftnet: facing off fake images using fake detection fine-tuning network
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  30. Deepfake: definitions, performance metrics and standards, datasets, and a meta-review
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  31. Multimodaltrace: Deepfake Detection using Audiovisual Representation Learning
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  32. Supervised Contrastive Learning for Generalizable and Explainable DeepFakes Detection
    Xu, Ying, Raja, Kiran, Pedersen, Marius · 2022 · 2022 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)
  33. Deep learning for visual speech analysis: A survey
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  34. Human performance in detecting deepfakes: A systematic review and meta-analysis of 56 papers
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  35. On Improving Cross-dataset Generalization of Deepfake Detectors
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  36. Exploiting Prediction Error Inconsistencies through LSTM-based Classifiers to Detect Deepfake Videos
    Amerini, Irene, Caldelli, Roberto · 2020 · Proceedings of the 2020 ACM Workshop on Information Hiding and Multimedia Security
  37. Glitch in the matrix: A large scale benchmark for content driven audio–visual forgery detection and localization
    Cai, Zhixi, Ghosh, Shreya, Dhall, Abhinav, Gedeon, Tom, Stefanov, Kalin, Hayat, Munawar · 2023 · Computer Vision and Image Understanding
  38. TIMIT-TTS: A Text-to-Speech Dataset for Multimodal Synthetic Media Detection
    Salvi, Davide, Hosler, Brian, Bestagini, Paolo, Stamm, Matthew C., Tubaro, Stefano · 2023 · IEEE Access
  39. ADD: Frequency Attention and Multi-View Based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images
    Binh, Le Minh, Woo, Simon · 2022 · Proceedings of the AAAI Conference on Artificial Intelligence
  40. PVASS-MDD: Predictive Visual-Audio Alignment Self-Supervision for Multimodal Deepfake Detection
    Yu, Yang, Liu, Xiaolong, Ni, Rongrong, Yang, Siyuan, Zhao, Yao, Kot, Alex C. · 2024 · IEEE Transactions on Circuits and Systems for Video Technology
  41. AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake Dataset
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  42. A lightweight 3D convolutional neural network for deepfake detection
    Liu, Jiarui, Zhu, Kaiman, Lu, Wei, Luo, Xiangyang, Zhao, Xianfeng · 2021 · International Journal of Intelligent Systems
  43. Improving Video Vision Transformer for Deepfake Video Detection Using Facial Landmark, Depthwise Separable Convolution and Self Attention
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  44. Improving Fairness in Deepfake Detection
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    Xia, Zhiming, Qiao, Tong, Xu, Ming, Wu, Xiaoshuai, Han, Li, Chen, Yunzhi · 2022 · Symmetry
  46. Depth map guided triplet network for deepfake face detection
    Liang, Buyun, Wang, Zhongyuan, Huang, Baojin, Zou, Qin, Wang, Qian, Liang, Jingjing · 2023 · Neural Networks
  47. Exploring Disentangled Content Information for Face Forgery Detection
    Liang, Jiahao, Shi, Huafeng, Deng, Weihong · 2022 · Lecture Notes in Computer Science
  48. Locate and Verify: A Two-Stream Network for Improved Deepfake Detection
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  49. SpoC: Spoofing Camera Fingerprints
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  50. A Novel Machine Learning based Method for Deepfake Video Detection in Social Media
    Mitra, Alakananda, Mohanty, Saraju P., Corcoran, Peter, Kougianos, Elias · 2020 · 2020 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS)
  51. ADD: Attention-Based DeepFake Detection Approach
    Khormali, Aminollah, Yuan, Jiann-Shiun · 2021 · Big Data and Cognitive Computing
  52. Assessment framework for deepfake detection in real-world situations
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  53. Detecting and Grounding Multi-Modal Media Manipulation and Beyond
    Shao, Rui, Wu, Tianxing, Wu, Jianlong, Nie, Liqiang, Liu, Ziwei · 2024 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  54. Don't trust your eyes: image manipulation in the age of DeepFakes
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  55. A Review of Deepfake Techniques: Architecture, Detection and Datasets
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  56. TI 2 Net: Temporal Identity Inconsistency Network for Deepfake Detection
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  57. Improving Generalization of Deepfake Detection With Data Farming and Few-Shot Learning
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  58. DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection
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  59. Deepfake Detection: Analyzing Model Generalization Across Architectures, Datasets, and Pre-Training Paradigms
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  60. DeepFake-Adapter: Dual-Level Adapter for DeepFake Detection
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  61. Diffusion Facial Forgery Detection
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  62. Deepfake Video Detection with Spatiotemporal Dropout Transformer
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  63. Generalization of Forgery Detection With Meta Deepfake Detection Model
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  64. Cross-Forgery Analysis of Vision Transformers and CNNs for Deepfake Image Detection
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  65. C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection
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  66. GenConViT: Deepfake Video Detection Using Generative Convolutional Vision Transformer
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  67. Forgery-Aware Adaptive Learning With Vision Transformer for Generalized Face Forgery Detection
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  68. An Examination of Fairness of AI Models for Deepfake Detection
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  69. Joint Audio-Visual Attention with Contrastive Learning for More General Deepfake Detection
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