Privacy-preserving Authentication: Tokens and Credentials

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Related lectures (32)

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Location Privacy

Explores location privacy risks, defense methods, challenges, and unique location identification.

Machine Learning and Privacy

Explores Federated Machine Learning and Differential Privacy in Machine Learning, discussing attacks, defenses, and challenges.

Privacy Engineering: Design Principles and SwissCovid Case Study

Explores Privacy by Design principles, data minimization, trust minimization, and the SwissCovid app case study.

Privacy Engineering: Strategies and Paradigms

Explores privacy engineering strategies, research paradigms, and real-world examples like the SwissCovid app.

Introduction to Security and Privacy

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

Privacy-preserving data publishing

Explores privacy risks in data publishing, failed de-identification attempts, and the use of synthetic data for privacy protection.

Privacy and Security: Balancing Act

Explores the tradeoff between security and privacy, emphasizing privacy as a crucial security property and discussing privacy-enhancing technologies.

Privacy Technologies

Explores privacy technologies, emphasizing the importance of protecting communication layers and discussing anti-surveillance PETS and privacy properties.

Differential Privacy with KNG: A New Mechanism

Introduces the K-Norm Gradient Mechanism (KNG) for achieving differential privacy with practical examples and insights on its advantages over existing mechanisms.

Data Protection Laws in Switzerland

Covers Swiss data protection laws, including the Federal Data Protection Act and the roles defined in the legislation.