Results 281 to 290 of about 160,235 (299)
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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  

Adversarial machine learning in Network Intrusion Detection Systems

Expert Systems With Applications, 2021
Elie Alhajjar   +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
Ambra Demontis   +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  

Adversarial Machine Learning in Cybersecurity

With the evolution and penetration of AI and ML into almost all critical public life domains including cybersecurity, the cybercrime ecosystem attempts to tap the vulnerabilities in AI-based cybersecurity systems by invoking adversarial machine learning, which has posed a significant challenge to cyber-physical security systems employing ML.
Vikram Singh, Sanyogita Singh
openaire   +1 more source

Adversarial Machine Learning

2018
Yevgeniy Vorobeychik, Murat Kantarcioglu
openaire   +2 more sources

Defense strategies for Adversarial Machine Learning: A survey

Computer Science Review, 2023
Panagiotis Bountakas   +2 more
exaly  

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