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A Comparative Study of Cross-Model Universal Adversarial ...
IEEE Xplore
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IEEE Xplore
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由 SY Lin 著作2022被引用 4 次 — We find that the universal perturbation generated by the proposed method can successfully disrupt the output faces of multiple DGMs at the same time.
A Comparative Study of Cross-Model Universal Adversarial ...
National Central University
https://scholars.ncu.edu.tw › publications
National Central University
https://scholars.ncu.edu.tw › publications
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In addition, to improve its scalability, a sequential cross-model universal perturbation attack has been proposed to learn a common adversarial perturbation to ...
A Comparative Study of Cross-Model Universal Adversarial ...
IEEE Xplore
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IEEE Xplore
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由 SY Lin 著作2022被引用 4 次 — From the extensive experimental results, we find that the universal perturbation generated by the proposed method can successfully disrupt the output faces of ...
5 頁
Shuoyen Lin
Google Scholar
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Google Scholar
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A Comparative Study of Cross-Model Universal Adversarial Perturbation for Face Forgery. SY Lin, JC Chen, JC Wang. 2022 IEEE International Conference on Visual ...
CMUA-Watermark: A Cross-Model Universal Adversarial ...
The Association for the Advancement of Artificial Intelligence
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The Association for the Advancement of Artificial Intelligence
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由 H Huang 著作2022被引用 99 次 — Extensive experimental results demonstrate that the proposed CMUA-. Watermark can effectively distort the fake facial images gen- erated by multiple deepfake ...
9 頁
CMUA-Watermark: A Cross-Model Universal Adversarial ...
ResearchGate
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ResearchGate
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2024年10月22日 — Extensive experimental results demonstrate that the proposed CMUA-Watermark can effectively distort the fake facial images generated by multiple ...
Generating Optimized Universal Adversarial Watermark for ...
ResearchGate
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ResearchGate
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2024年7月27日 — A Comparative Study of Cross-Model Universal Adversarial Perturbation for Face Forgery. Conference Paper. Dec 2022. Shuo-Yen Lin · Jun-Cheng ...
PB-UAP: HYBRID UNIVERSAL ADVERSARIAL ATTACK ...
arXiv
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arXiv
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2024年12月21日 — In this paper, we propose a novel universal adversarial attack method designed for segmentation models, which includes dual feature separation ...
Exploring Decision-based Black-box Attacks on Face ...
arXiv
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arXiv
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To address these issues, we propose an efficient decision-based adversarial attack to explore the adversarial robustness of face forgery detection. First, we ...
Universal Adversarial Training Using Auxiliary Conditional ...
MDPI
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MDPI
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由 H Dingeto 著作2023被引用 3 次 — This paper proposes a Universal Adversarial Training algorithm using adversarial examples generated by an Auxiliary Classifier Generative Adversarial Network ( ...