Results 261 to 270 of about 7,172,817 (283)

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

IEEE Communications Surveys and Tutorials, 2023
Vincent Poor, Wei Ni, Shenghong Li
exaly  

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

IEEE Communications Surveys and Tutorials, 2023
Yalin Sagduyu, Lijun Qian, Damilola Adesina   +2 more
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
Michele Nogueira, Burak Kantarcı, Jinxin Liu   +2 more
exaly  

Adversarial machine learning in Network Intrusion Detection Systems

Expert Systems With Applications, 2021
Nathaniel D Bastian, Elie Alhajjar, Paul Maxwell   +2 more
exaly  

A survey of machine learning techniques in adversarial image forensics

Computers and Security, 2021
Kim-Kwang Raymond Choo, Reza M. Parizi, Ehsan Nowroozi   +2 more
exaly  

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

Pattern Recognition, 2023
Battista Biggio, Ambra Demontis, Fabio Roli   +2 more
exaly  

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

IEEE Communications Surveys and Tutorials, 2020
Muhammad Usama, Junaid Qadir, Ala Al-Fuqaha   +2 more
exaly  

Defense strategies for Adversarial Machine Learning: A survey

Computer Science Review, 2023
Christos Xenakis, Panagiotis Bountakas, Apostolis Zarras   +2 more
exaly  

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

IEEE Communications Surveys and Tutorials, 2023
Ke He, Muhammad Rizwan Asghar, Dong Seong Kim   +2 more
exaly  

Evaluating and Improving Adversarial Robustness of Machine Learning-Based Network Intrusion Detectors

IEEE Journal on Selected Areas in Communications, 2021
Jiahai Yang, Xingang Shi, Zhiliang Wang
exaly