Robust Adversarial Watermark Defending Against GAN Synthesization Attack-Reference-Cited by-同舟云学术

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Robust Adversarial Watermark Defending Against GAN Synthesization Attack

Published:2024 Issue: Volume:31 Page:351-355
ISSN:1070-9908
Container-title:IEEE Signal Processing Letters
language:
Short-container-title:IEEE Signal Process. Lett.

Author:

Xu Shengwang¹^ORCID,Qiao Tong¹^ORCID,Xu Ming¹^ORCID,Wang Wei²^ORCID,Zheng Ning¹^ORCID

Affiliation:

1. School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China

2. Center for Research on Intelligent Perception and Computing (CRIPAC), State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China

Funder

Zhejiang Provincial Natural Science Foundation of China

Fundamental Research Funds for the Provincial Universities of Zhejiang

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/97/10380231/10382699.pdf?arnumber=10382699

Reference46 articles.

1. A novel model watermarking for protecting generative adversarial network

2. Deepfakes and beyond: A Survey of face manipulation and fake detection

3. Transformer-Based Feature Compensation and Aggregation for DeepFake Detection

4. Forgery-Domain-Supervised Deepfake Detection With Non-Negative Constraint

5. New Finding and Unified Framework for Fake Image Detection

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