Privacy-Preserving Machine Learning

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Related lectures (31)

Page 3 of 4

Covers privacy paradigms, data collection by companies, legal frameworks, trust in data providers, and the security vs. privacy debate.

Privacy-preserving authentication

Explores privacy-preserving authentication methods, zero-knowledge proofs, Schnorr's proof of identification, and their real-world applications.

Introduction to Security and Privacy

Covers the basics of pedagogy, lesson structure, video capsules, and student evaluation.

Privacy: Protecting Personal Data and Ensuring Anonymity

Explores risks of data exposure and strategies for defending privacy.

Legal Aspects: Data Protection Law

Explores the legal aspects of data protection law, covering history, international instruments, GDPR, enforcement, and key definitions.

Data Protection and Privacy

Discusses the importance of handling data with dignity and respect.

Privacy-preserving Data Publishing: Part II

Explores privacy-preserving data publishing mechanisms, including k-anonymity and differential privacy, and their practical applications and challenges.

Real-Time Bidding: Legal Aspects

Explores the legal implications of real-time bidding in online advertising, focusing on data protection and privacy concerns.

Internet Capsules: Opportunities and Dangers

Explores the opportunities and dangers of the internet, including encryption, surveillance, and censorship.

Data Protection Principles

Explores data protection principles, including personal data processing and legal implications.