Learning Universal Adversarial Perturbation by Adversarial Example-MedSci.cn

Learning Universal Adversarial Perturbation by Adversarial Example

Li, MS; Yang, YH; Wei, K; Yang, X; Huang, H

Yang, YH (通讯作者)，Xidian Univ, Xian 710071, Peoples R China.

THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / THE TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2022; (): 1350

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