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Adversarial attack and defense in reinforcement learning-from AI security view
2019
Cybersecurity
Reinforcement learning is a core technology for modern artificial intelligence, and it has become a workhorse for AI applications ranging from Atrai Game to Connected and Automated Vehicle System (CAV). Therefore, a reliable RL system is the foundation for the security critical applications in AI, which has attracted a concern that is more critical than ever. However, recent studies discover that the interesting attack mode adversarial attack also be effective when targeting neural network
doi:10.1186/s42400-019-0027-x
fatcat:nlox7arfojaerietjz5ipskucm