Defending Artificial Intelligence against deception attacks

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Artificial Intelligence relies on deep learning as its central driving tool. However, deep learning is vulnerable to malicious attacks that can manipulate data or embed Trojans in the deep models to gain full control over the AI system. This project aims to secure AI systems for defense applications by comprehensively addressing its vulnerabilities to attacks. The outcomes are likely to enable the detection of malicious attacks on deep learning, identification of the attack sources, estimation of attackers' capabilities and cleansing of the model and data of the malignant effects. This will significantly advance our capability to understand and defend against AI vulnerabilities, thereby benefiting defense and modern technologies alike.