Investigate Evolutionary Strategies for Black-box Attacks to Deepfake Forensic Systems-Reference-Cited by-同舟云学术

Investigate Evolutionary Strategies for Black-box Attacks to Deepfake Forensic Systems

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:The 11th International Symposium on Information and Communication Technology
language:
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Author:

Binh Nguyen Thi My¹^ORCID,Hoang Long Dao²^ORCID,Ngoc Nguyen²^ORCID,Thanh Binh Huynh Thi³^ORCID,Phuong Nguyen Khanh³^ORCID

Affiliation:

1. Hanoi University of Industry, Viet Nam

2. Hanoi University of Sciece and Technology, Viet Nam

3. Hanoi University of Science and Technology, Viet Nam

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3568562.3568666

Reference13 articles.

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2. Evading Deepfake-Image Detectors with White- and Black-Box Attacks

3. ImageNet: A large-scale hierarchical image database

4. Joel Frank Thorsten Eisenhofer Lea Schönherr Asja Fischer Dorothea Kolossa and Thorsten Holz. 2020. Leveraging Frequency Analysis for Deep Fake Image Recognition. arXiv preprint arXiv:2003.08685(2020). Joel Frank Thorsten Eisenhofer Lea Schönherr Asja Fischer Dorothea Kolossa and Thorsten Holz. 2020. Leveraging Frequency Analysis for Deep Fake Image Recognition. arXiv preprint arXiv:2003.08685(2020).

5. Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarial nets. In Advances in neural information processing systems. 2672–2680. Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarial nets. In Advances in neural information processing systems. 2672–2680.

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