Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection-Reference-Cited by-同舟云学术

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Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
language:
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Author:

Chen Liang¹,Zhang Yong²,Song Yibing²,Liu Lingqiao¹,Wang Jue²

Affiliation:

1. The University of Adelaide

2. Tencent AI Lab

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09879418.pdf?arnumber=9879418

Reference60 articles.

1. Thinking in frequency: Face forgery detection by mining frequency-aware clues;qian;ECCV,0

2. Poisson image editing

3. Exploiting Visual Artifacts to Expose Deepfakes and Face Manipulations

4. Two-branch recurrent network for isolating deepfakes in videos;masi;ECCV,0

5. Towards deep learning models resistant to adversarial attacks;madry;ArXiv Preprint,2017

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