Privacy Enhancing Technologies

This course will provide students with a basic understanding of privacy risks, the most common technologies to tackle them and the human factors shaping their design. The course will analyze the adversary models and evaluation metrics underlying the design of privacy-enhancing technologies. Course content: - Freedom of information, the surveillance economy, and other motivations for privacy - Privacy metrics and adversary models (k-anonymity, Differential Privacy) - Anonymous communications (TOR, Darknets) - Data-perturbative privacy-enhancing technologies - Anonymization algorithms for databases - Homomorphic encryption and zero knowledge proofs - Selective disclosure for identity management - Usable privacy - Applying privacy principles and case studies Please check the course web page for updates at: https://ps.tm.kit.edu/english/142.php