Personal Space: Importance and Impact

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

Location Privacy

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

Privacy Engineering: Strategies and Paradigms

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

Internet Evolution: From Origins to Consequences

Explores the evolution and impact of the Internet, emphasizing the dual nature of technological advancements.

Privacy and Security: Online Identity and Threats

Explores online identity, privacy, and security, covering fake news, cyberbullying, and defense strategies.

Data Privacy in eHealth Research

Explores data privacy challenges and perspectives in eHealth research, focusing on GDPR compliance, sensitive health data management, and decentralized agents.

Personal Devices Security: Attacks and Defenses

Explores security and privacy issues in personal electronic devices, covering attacks, defenses, and consequences.

Privacy Engineering: Design Principles and SwissCovid Case Study

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

Privacy-Preserving Contact Tracing: SwissCovid

Explains the SwissCovid contact tracing app and its privacy-preserving approach.

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.