Defense Against Adversarial Attacks Using Topology Aligning Adversarial Training-Reference-Cited by-同舟云学术

Defense Against Adversarial Attacks Using Topology Aligning Adversarial Training

Published:2024 Issue: Volume:19 Page:3659-3673
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Kuang Huafeng¹^ORCID,Liu Hong²^ORCID,Lin Xianming¹^ORCID,Ji Rongrong³^ORCID

Affiliation:

1. Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, Xiamen University, Xiamen, China

2. Institute for Datability Science, Osaka University, Suita, Osaka, Japan

3. Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, Institute of Artificial Intelligence, Xiamen University, Xiamen, China

Funder

National Key Research and Development Program of China

National Science Fund for Distinguished Young Scholars

National Natural Science Foundation of China

Natural Science Foundation of Fujian Province of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/10206/10319981/10416271.pdf?arnumber=10416271

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