MagDR: Mask-Guided Detection and Reconstruction for Defending Deepfakes
Zhikai Chen, Lingxi Xie, Shanmin Pang, Yong He, Bo Zhang
2021年份
6顶会引用
摘要
Original input ⟹ Original output Disrupted input ⟹ Disrupted output Reconstructed input ⟹ Reconstructed output Disrupting Disrupting Disrupting Reconstructing Reconstructing Reconstructing Figure 1: MagDR defends deepfakes from adversarial attacks in three main tasks, face replacement (top), face editing (middle), and facial reenactment (bottom). In each group, we show the original generation effect (left), how adversarial perturbations damage the generation (middle), and how the proposed defender recovers the desired output (right).
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引用它的顶会 Paper6
- Leveraging Real Talking Faces via Self-Supervision for Robust Forgery DetectionAlexandros Haliassos, Rodrigo Mira, Stavros Petridis, Maja PanticCVPR 2022 · 被引用 138 次
- SepMark: Deep Separable Watermarking for Unified Source Tracing and Deepfake DetectionXiaoshuai Wu, Xin Liao, Bo OuACM MM 2023 · 被引用 74 次
- DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable DiffusionKe Sun, Shen Chen, Taiping Yao, Hong Liu 等NeurIPS 2024 · 被引用 57 次
- GM-DF: Generalized Multi-Scenario Deepfake DetectionYingxin Lai, Hongyang Wang, Jing Yang, Xiangui Kang 等ACM MM 2025 · 被引用 10 次
- PhantomSeal: Proactive Deepfakes Defense with Identity/Context Protection and Forensic TracingLiangqin Ren, Zeyan Liu, Ye Wang, Yuxin Chen 等CCS 2026
它引用的顶会 Paper11
- Towards Evaluating the Robustness of Neural NetworksNicholas Carlini, David A. WagnerS&P 2017 · 被引用 9,786 次
- FaceForensics++: Learning to Detect Manipulated Facial ImagesAndreas Rössler, Davide Cozzolino, Luisa Verdoliva, Christian Riess 等ICCV 2019 · 被引用 2,966 次
- Feature Squeezing: Detecting Adversarial Examples in Deep Neural NetworksWeilin Xu, David Evans, Yanjun QiNDSS 2018 · 被引用 1,633 次
- MagNet: A Two-Pronged Defense against Adversarial ExamplesDongyu Meng, Hao ChenCCS 2017 · 被引用 1,295 次
- FSGAN: Subject Agnostic Face Swapping and ReenactmentYuval Nirkin, Yosi Keller, Tal HassnerICCV 2019 · 被引用 710 次
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