About the Course

Artificial Intelligence (AI) and machine learning (ML) technologies and techniques are being deployed for use in cybersecurity. These technologies include network anomaly detection, biometric authentication, data analytics to uncover fraud as well as spam detection. Attackers leverage advanced ML algorithms to gain an advantage on their potential targets. ML systems are susceptible to adversarial input perturbations impacting deep neural networks. This course will facilitate an understanding of Adversarial Machine Learning (AML), key types of attacks, defenses as well as fundamental properties for explainable AI systems, and examine the unique challenges for user trust in AI systems.

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