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Privacy technologies and data protection

Explores privacy importance, PETS, anti-surveillance technologies, and the SwissCovid case study.

Privacy-Preserving Federated Analytics for Personalized Medicine

Delves into privacy-preserving federated analytics for personalized medicine, discussing challenges, solutions, and real-world applications.

Data Protection Law: Principles and Practices

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.

Cloud and Aggregation

Explores cloud computing, data aggregation, security threats, privacy issues, encryption, de-identification, and data privacy in the digital era.

Machine Learning and Privacy

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

Machine Learning and Privacy

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

Privacy: Differential Privacy & Privacy by Design

Explores differential privacy and Privacy by Design principles to ensure user-centric privacy protection.

Data Privacy and Security: Course Introduction

Covers the course introduction, teaching methods, evaluation criteria, and practical projects for data privacy and security.

Personal Devices: Security and Privacy

Explores security and privacy issues in personal electronic devices, emphasizing the importance of safeguarding Personally Identifiable Information.

Challenges in DL/ML Applications

Explores challenges in deep learning and machine learning applications, covering surveillance, privacy, manipulation, fairness, interpretability, energy efficiency, cost, and generalization.