Imperceptible and Sparse Adversarial Attacks via a Dual-Population-Based Constrained Evolutionary Algorithm-Reference-Cited by-同舟云学术

Imperceptible and Sparse Adversarial Attacks via a Dual-Population-Based Constrained Evolutionary Algorithm

Published:2023-04 Issue:2 Volume:4 Page:268-281
ISSN:2691-4581
Container-title:IEEE Transactions on Artificial Intelligence
language:
Short-container-title:IEEE Trans. Artif. Intell.

Author:

Tian Ye¹^ORCID,Pan Jingwen²,Yang Shangshang²^ORCID,Zhang Xingyi³^ORCID,He Shuping⁴^ORCID,Jin Yaochu⁵^ORCID

Affiliation:

1. Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Institutes of Physical Science and Information Technology, Anhui University, Hefei, China

2. School of Computer Science and Technology, Anhui University, Hefei, China

3. Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University, Hefei, China

4. Anhui Engineering Laboratory of Human–Robot Integration System and Intelligent Equipment, School of Electrical Engineering and Automation, Anhui University, Hefei, China

5. Faculty of Technology, Bielefeld University, Bielefeld, Germany

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Collaborative Innovation Program of Universities in Anhui Province

Alexander von Humboldt Professorship for Artificial Intelligence

Federal Ministry of Education and Research, Germany

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Artificial Intelligence

Link

http://xplorestaging.ieee.org/ielx7/9078688/10081152/09760177.pdf?arnumber=9760177

Reference60 articles.

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5. Black-box adversarial attacks with limited queries and information;ilyas;Proc Int Conf Mach Learn,0

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