Results 101 to 110 of about 1,102 (116)

Generative Adversarial Networks

ACM Computing Surveys, 2022
Zhipeng Cai, Honghui Xu, Yi Pan
exaly  

Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain

ACM Computing Surveys, 2022
Ishai Rosenberg, Asaf Shabtai
exaly  

Adversarial Machine Learning: A Multilayer Review of the State-of-the-Art and Challenges for Wireless and Mobile Systems

IEEE Communications Surveys and Tutorials, 2022
Jinxin Liu, Michele Nogueira, Burak Kantarci   +2 more
exaly  

Adversarial Machine Learning in Wireless Communications Using RF Data: A Review

IEEE Communications Surveys and Tutorials, 2023
Damilola Adesina, Yalin E Sagduyu, Lijun Qian   +2 more
exaly  

A Survey of Adversarial Defenses and Robustness in NLP

ACM Computing Surveys, 2023
Shreya Goyal, Sumanth Doddapaneni, Mitesh Khapra   +2 more
exaly  

Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and the Way Forward

IEEE Communications Surveys and Tutorials, 2020
Adnan Qayyum, Muhammad Usama, Junaid Qadir   +2 more
exaly  

Generative Adversarial Networks in Computer Vision

ACM Computing Surveys, 2022
Zhengwei Wang, Tomas E Ward
exaly  

Generative Adversarial Networks (GANs)

ACM Computing Surveys, 2022
Divya Saxena, Jiannong Cao
exaly  

Generative Adversarial Networks in Time Series: A Systematic Literature Review

ACM Computing Surveys, 2023
Eoin Brophy, Zhengwei Wang, Qi She
exaly  

Adversarial Attacks and Defenses in Deep Learning: From a Perspective of Cybersecurity

ACM Computing Surveys, 2023
Shuai Zhou, Chi Liu, Dayong Ye
exaly