Automatic Asymmetric Embedding Cost Learning via Generative Adversarial Networks-Reference-Cited by-同舟云学术

Automatic Asymmetric Embedding Cost Learning via Generative Adversarial Networks

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
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Author:

Huang Dongxia¹^ORCID,Luo Weiqi¹^ORCID,Zheng Peijia²^ORCID,Huang Jiwu³^ORCID

Affiliation:

1. Guangdong Key Lab of Information Security Technology & School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China

2. Guangdong Key Lab of Information Security Technology, School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China

3. Guangdong Key Laboratory of Intelligent Information Processing, College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3612399

Reference34 articles.

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2. Solè ne Bernard , Patrick Bas , Tomá s Pevný , and John Klein . 2021 . Optimizing Additive Approximations of Non-additive Distortion Functions. In ACM Workshop on Information Hiding and Multimedia Security. ACM, 105--112 . Solè ne Bernard, Patrick Bas, Tomá s Pevný, and John Klein. 2021. Optimizing Additive Approximations of Non-additive Distortion Functions. In ACM Workshop on Information Hiding and Multimedia Security. ACM, 105--112.

3. Deep Residual Network for Steganalysis of Digital Images

4. StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation

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