Differential Privacy: Understanding the Bias and Correction

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Related lectures (32)

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Cloud and Aggregation: Security and Privacy

Explores cloud computing, data aggregation, security risks, privacy defenses, and data protection techniques.

Location Privacy

Explores the challenges of protecting location privacy and various techniques to mitigate location-related inferences, highlighting the importance of trust assumptions and practical issues.

Legal Aspects: Data Protection and Privacy

Explores Swiss legal framework on data protection, privacy, cybercrimes, and the role of the Federal Data Protection Commissioner.

Machine Learning and Privacy

Delves into Differential Privacy trade-offs, disparate impact, and machine learning-based privacy attacks.

Anonymous Authorization: Privacy Engineering Toolbox

Covers anonymous authorization, zero-knowledge proofs, attribute-based credentials, and practical issues in anonymous authentication.

Introduction to Security and Privacy

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

Privacy Engineering: Design Principles and SwissCovid Case Study

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

Machine Learning and Privacy

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

Trust and Privacy

Explores trust, privacy, visual protection, social media models, and blockchain technology.

Server Security: Threats and Defenses

Explores server security, types of attacks, consequences, and defenses, along with an introduction to blockchains.