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Adversarial Attacks and Defenses in Machine Learning-Empowered Communication Systems and Networks: A Contemporary Survey

IEEE Communications Surveys and Tutorials, 2023
Yulong Wang, Shenghong Li, Xin Yuan
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   +2 more
exaly  

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

IEEE Communications Surveys and Tutorials, 2023
Damilola Adesina   +2 more
exaly  

A survey of machine learning techniques in adversarial image forensics

Computers and Security, 2021
Ehsan Nowroozi   +2 more
exaly  

ImageNet-Patch: A dataset for benchmarking machine learning robustness against adversarial patches

Pattern Recognition, 2023
Maura Pintor   +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   +2 more
exaly  

Adversarial Machine Learning for Network Intrusion Detection Systems: A Comprehensive Survey

IEEE Communications Surveys and Tutorials, 2023
Ke He   +2 more
exaly  

Defense strategies for Adversarial Machine Learning: A survey

Computer Science Review, 2023
Panagiotis Bountakas   +2 more
exaly  

Adversarial Machine Learning: Bayesian Perspectives

Journal of the American Statistical Association, 2023
David Rios Insua   +2 more
exaly  

Wild patterns: Ten years after the rise of adversarial machine learning

Pattern Recognition, 2018
Battista Biggio, Fabio Roli
exaly  

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