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Explores machine learning fundamentals and privacy risks, focusing on privacy attacks and collaborative machine learning.
Explores the definitions, value, and challenges of privacy, including personal data and privacy properties like pseudonymity and k-anonymity.
Delves into the legal aspects of real-time bidding in online advertising, focusing on data protection laws, consent management challenges, and recent legal implications.
Covers the measurement of privacy in location data, defense mechanisms, and challenges in protecting location privacy.
Introduces a course on Privacy Enhancing Technologies covering various mechanisms and emphasizing privacy as a security property.
