ACADIA: Efficient and Robust Adversarial Attacks Against Deep Reinforcement Learning
ACADIA: Efficient and Robust Adversarial Attacks Against Deep Reinforcement Learning Haider Ali Artificial Intelligence (AI) techniques such as Deep Neural Network …
ACADIA: Efficient and Robust Adversarial Attacks Against Deep
Reinforcement Learning
Haider Ali
Artificial Intelligence (AI) techniques such as Deep Neural Networks (DNN) and Deep Reinforcement Learning (DRL) are prone to adversarial attacks. For example, a perturbed stop sign can force a self-driving car’s AI algorithm to increase the speed rather than stop the vehicle.
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