August 23, 2023
Lecture: Security and robustness
Gain a general overview of the main security problems of machine learning Understanding the main confidentiality, integrity, and availability issues of machine learning Distinguishing evasion, poisoning and backdoors attacks Understanding clean-label poisoning attacks Obtain the the intuition of adversarial examples and its practical impact through real-life examples Demonstrating the availability attacks by artificially constructed sponge examples Understanding the threat of explainability evasion Understanding the trade-off between robustness and model quality Learn the principles of AI (robustness) auditing