Machine Learning and Privacy

Related lectures (32)

Page 3 of 4

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

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

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

Discusses regression trees, ensemble methods, and their applications in predicting used car prices and stock returns.

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

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

Explores synthetic data generation for privacy-preserving data publishing, evaluating its effectiveness against privacy threats in raw datasets.

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

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

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