Results 241 to 250 of about 215,342 (268)
Some of the next articles are maybe not open access.
Variational Adversarial Defense: A Bayes Perspective for Adversarial Training
IEEE Transactions on Pattern Analysis and Machine IntelligenceVarious methods have been proposed to defend against adversarial attacks. However, there is a lack of enough theoretical guarantee of the performance, thus leading to two problems: First, deficiency of necessary adversarial training samples might attenuate the normal gradient's back-propagation, which leads to overfitting and gradient masking ...
Chenglong Zhao +5 more
openaire +2 more sources
Adversarial Machine Learning in Wireless Communications Using RF Data: A Review
IEEE Communications Surveys and Tutorials, 2023Damilola Adesina +2 more
exaly
A Survey on Generative Adversarial Networks: Variants, Applications, and Training
ACM Computing Surveys, 2022Songyuan Li
exaly
Generative Adversarial Networks in Time Series: A Systematic Literature Review
ACM Computing Surveys, 2023Eoin Brophy, Zhengwei Wang, Qi She
exaly
Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain
ACM Computing Surveys, 2022Ishai Rosenberg, Asaf Shabtai
exaly
A Survey on Adversarial Recommender Systems
ACM Computing Surveys, 2022Yashar Deldjoo, Tommaso Di Noia
exaly
How Generative Adversarial Networks and Their Variants Work
ACM Computing Surveys, 2020, Uiwon Hwang, Sungroh Yoon
exaly