Security and Privacy of Machine Learning

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Wrap Up
Class 11: Poisoning
Class 10: Formal Verification Methods
Class 9: Adversarial Malware Detection
Class 8: Testing of Deep Networks
Class 7: Biases in ML, Discriminatory Advertising
Class 6: Measuring Robustness of ML Models
Class 5: Adversarial Machine Learning in Non-Image Domains
Class 4: Differential Privacy In Action
Topic Suggestions
Class 3: Adversarial Machine Learning
Class 2: Privacy in Machine Learning
Class 1: Intro to Adversarial Machine Learning
First Week
Starting Seminar
Syllabus Posted
Welcome