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Lecture
Privacy-Preserving Machine Learning
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Related lectures (33)
Homomorphic Encryption: Delegating Calculations Securely
Explores homomorphic encryption, enabling secure computations on encrypted data without data exposure, with applications in healthcare and finance.
Privacy Technologies and Data Protection
Explores privacy technologies, data protection, surveillance risks, and Privacy Enhancing Technologies for social and institutional privacy.
Privacy-Preserving Federated Analytics for Personalized Medicine
Delves into privacy-preserving federated analytics for personalized medicine, discussing challenges, solutions, and real-world applications.
Privacy: Threat Modeling and Differential Privacy
Explores the significance of privacy, risks of targeted advertising, and the concept of differential privacy.
Privacy technologies and data protection
Explores privacy importance, PETS, anti-surveillance technologies, and the SwissCovid case study.
Cloud and Aggregation: Security and Privacy
Explores cloud computing, data aggregation, security risks, privacy defenses, and data protection techniques.
Data Protection Laws in Switzerland
Covers Swiss data protection laws, including the Federal Data Protection Act and the roles defined in the legislation.
Legal Aspects: Data Protection and Privacy
Explores Swiss legal framework on data protection, privacy, cybercrimes, and the role of the Federal Data Protection Commissioner.
Server Security: Threats and Defenses
Explores server security, types of attacks, consequences, and defenses, along with an introduction to blockchains.
Internet Evolution: From Origins to Consequences
Explores the evolution and impact of the Internet, emphasizing the dual nature of technological advancements.
Data Protection Principles
Discusses the importance of data protection, including the right to be forgotten and principles of data processing.
Abusive Data Collection: Risks and Protections
Explores risks of abusive data collection, protections like Differential Privacy, Hashing, and Encryption, and techniques for data protection.
Introduction to Security and Privacy
Covers the basics of pedagogy, lesson structure, video capsules, and student evaluation.
Data Protection and Privacy
Discusses the importance of handling data with dignity and respect.
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.
Privacy-Preserving Contact Tracing: SwissCovid
Explains the SwissCovid contact tracing app and its privacy-preserving approach.
Data Protection Law: Principles and Rights
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Covers the principles and rights of data protection law under GDPR.
Privacy Engineering: Strategies and Paradigms
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Explores privacy engineering strategies, research paradigms, and real-world examples like the SwissCovid app.
Data Protection Law: Principles and Practices
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Explores the historical development and legal aspects of data protection laws, international instruments, challenges of online tracking, legal bases for processing personal data, and privacy regulations.
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