Course

CS-523: Advanced topics on privacy enhancing technologies

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Lectures in this course (52)

Privacy Enhancing Technologies

Introduces a course on Privacy Enhancing Technologies covering various mechanisms and emphasizing privacy as a security property.

Zero-Knowledge Proofs: Concepts and Applications

Explores zero-knowledge proofs, their properties, practical applications, and implementation in real-world scenarios, including attribute-based credentials.

Location Privacy

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

Privacy-preserving data publishing: Challenges and Solutions

Explores challenges in privacy-preserving data publishing, including k-anonymity and synthetic data solutions.

Privacy-preserving Data Publishing: Part II

Explores privacy-preserving data publishing mechanisms, including k-anonymity and differential privacy, and their practical applications and challenges.

Anonymous Communications: Technologies and Challenges

Explores the challenges and technologies of anonymous communications, emphasizing the importance of privacy in modern communication systems.

Privacy Engineering: Strategies and Paradigms

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

Privacy-Preserving Crypto I

Introduces Secure Multiparty Computation techniques, covering theoretical frameworks, security models, and practical applications in privacy-preserving cryptography.

Homomorphic Encryption

Introduces homomorphic encryption, enabling computation on encrypted data without decryption, covering security, applications, and practical aspects.

Censorship Resistance

Explores censorship resistance technologies to ensure freedom of expression and access to information online.

Online Tracking: Stateful vs. Stateless Methods

Explores online tracking methods, including canvas and AudioContext API fingerprinting, and their privacy implications.

Machine Learning and Privacy

Explores machine learning fundamentals and privacy risks, focusing on privacy attacks and collaborative machine learning.

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.

Privacy Engineering: Projects & Ethics

Covers the organization of the course, projects, assessments, and ethics in privacy engineering.

Privacy: Paradigms and Adversaries

Covers privacy paradigms, data collection by companies, legal frameworks, trust in data providers, and the security vs. privacy debate.

Privacy and Security: Balancing Act

Explores the tradeoff between security and privacy, emphasizing privacy as a crucial security property and discussing privacy-enhancing technologies.

Secure Multiparty Computation: Danish Sugar Beets Auction

Explores the Danish Sugar Beets Auction, Secure Multiparty Computation, and the design of secure protocols for privacy and correctness.

Secure Multiparty Computation: Oblivious Transfer

Explores Oblivious Transfer in Secure Multiparty Computation, ensuring private input computation and secure function evaluation.

Privacy-Preserving Machine Learning

Explores privacy-preserving techniques like secret sharing and homomorphic encryption for secure computations and data protection in machine learning.

Privacy-preserving data publishing: Challenges and Solutions

Explores challenges in privacy-preserving data publishing, including failed de-identification examples and privacy threats, and presents a case study on Airbnb's efforts to address racist practices while protecting user privacy.