First Learning Steps to Recognize Faces in the Noise-Reference-Cited by-同舟云学术

First Learning Steps to Recognize Faces in the Noise

Published:2023-06-28 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 ACM Workshop on Information Hiding and Multimedia Security
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Author:

Lamminger Lukas¹^ORCID,Hofbauer Heinz¹^ORCID,Uhl Andreas¹^ORCID

Affiliation:

1. University of Salzburg, Salzburg, Austria

Funder

Austrian Science Fund (FWF)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3577163.3595105

Reference37 articles.

1. Xing Bai , Jin-Xi Li , Zhan Yu , Zhong-Zhuo Yang , Yu-Jie Wang , Xing-Yu Chen , and Xin Zhou . 2021 . Reconstruction of Chaotic Grayscale Image Encryption Based on Deep Learning. In 2021 IEEE International Conference on Imaging Systems and Techniques (IST). 1--6. https://doi.org/10 .1109/IST50367.2021.9651405 10.1109/IST50367.2021.9651405 Xing Bai, Jin-Xi Li, Zhan Yu, Zhong-Zhuo Yang, Yu-Jie Wang, Xing-Yu Chen, and Xin Zhou. 2021. Reconstruction of Chaotic Grayscale Image Encryption Based on Deep Learning. In 2021 IEEE International Conference on Imaging Systems and Techniques (IST). 1--6. https://doi.org/10.1109/IST50367.2021.9651405

2. Image reconstruction attacks on distributed machine learning models

3. Occlusion-aware face inpainting via generative adversarial networks

4. K. Delac , M. Grgic , and S. Grgic . 2005 . Effects of JPEG and JPEG2000 compression on face recognition. In Proceedings of ICAPR 2005 (LNCS , Vol. 3687). 136-- 145 . K. Delac, M. Grgic, and S. Grgic. 2005. Effects of JPEG and JPEG2000 compression on face recognition. In Proceedings of ICAPR 2005 (LNCS, Vol. 3687). 136--145.

5. Ugur Demir and Gozde Unal. 2018. Patch-Based Image Inpainting with Generative Adversarial Networks. https://doi.org/10.48550/ARXIV.1803.07422 10.48550/ARXIV.1803.07422