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Generative Adversarial Networks in Computer Vision
ACM Computing Surveys, 2022Zhengwei Wang, Tomas E Ward
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Boosting Adversarial Training in Adversarial Machine Learning
2023Ehsan Saleh +2 more
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Generative Adversarial Networks in Time Series: A Systematic Literature Review
ACM Computing Surveys, 2023Eoin Brophy, Zhengwei Wang, Qi She
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Adversarial Attacks and Defenses in Deep Learning: From a Perspective of Cybersecurity
ACM Computing Surveys, 2023Shuai Zhou, Chi Liu, Dayong Ye
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Parameter-constrained adversarial training
2023 2nd International Conference on Cloud Computing, Big Data Application and Software Engineering (CBASE), 2023Zhengjie Deng, Yufan Wei
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Interpreting Adversarial Examples in Deep Learning: A Review
ACM Computing Surveys, 2023Sicong Han, Chenhao Lin, Chao Shen
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How Generative Adversarial Networks and Their Variants Work
ACM Computing Surveys, 2020Youngjun Hong, Uiwon Hwang, Sungroh Yoon
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ALAT: Adversarial Label-guided Adversarial Training
Pattern Recognition LettersNan Wang, Yong Yu, Honghong Wang
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Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019Takeru Miyato, Shin Ishii
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