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The Defense of Adversarial Example with Conditional Generative Adversarial Networks
Work
Year: 2020
Type: article
Abstract: Deep neural network approaches have made remarkable progress in many machine learning tasks. However, the latest research indicates that they are vulnerable to adversarial perturbations. An adversary ... more
Source: Security and Communication Networks
Authors Fangchao Yu, Li Wang, Xianjin Fang, Youwen Zhang
Institutions Anhui University of Science and Technology, Anhui University
Cites: 17
Cited by: 21
Related to: 10
FWCI: 2.125
Citation percentile (by year/subfield): 89.09
Topic: Adversarial Robustness in Machine Learning
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Sustainable Development Goal Reduced inequalities
Open Access status: gold
APC paid (est): $2,100
Funders National Natural Science Foundation of China, National Natural Science Foundation of China
Grant IDS 61572034, 18030901025