Multi-Agent Guided Deep Reinforcement Learning Approach Against State Perturbed Adversarial Attacks

被引：0
|
作者：
Çerçi, Çağri [1 ]
Temeltas, Hakan [2 ]
机构：
[1] Department of Mechatronics Engineering, Istanbul Technical University, İstanbul, Maslak,34467, Turkey
[2] Department of Control and Automation Engineering, Istanbul Technical University, İstanbul, Maslak,34467, Turkey
来源：
IEEE Access | 2024年 / 12卷
关键词：
All Open Access; Gold;
D O I：
10.1109/ACCESS.2024.3485036
中图分类号：
学科分类号：
摘要：
Adversarial machine learning
引用
收藏
页码：156146 / 156159
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