Lecture

Privacy-preserving Authentication: Tokens and Credentials

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Related lectures (64)

Homomorphic Encryption: Applications and Implementations

Explores homomorphic encryption, its applications, challenges, and comparisons with Trusted Execution Environments, as well as the use of aggregated keys for secure data sharing.

Privacy Engineering: Principles and Strategies

Covers the principles and strategies of privacy engineering, emphasizing the importance of embedding privacy into IT systems and the challenges faced in achieving privacy by design.

Internet Capsules: Opportunities and Dangers

Explores the opportunities and dangers of the internet, including encryption, surveillance, and censorship.

Privacy-preserving Data Publishing: Part II

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

Intro & Oblivious Shuffling

Introduces Aggregate Measurement via Oblivious Shuffling and explores various topics related to privacy, data analysis, and web advertising.

E-Voting: Research and Challenges

Explores e-voting research, digital algorithms, privacy challenges, and cryptographic methods in ensuring legitimacy and participation.

SwissCovid: Privacy-Preserving Contact Tracing Systems

Explores the SwissCovid contact tracing app, emphasizing privacy and security measures.

Conditional Access I

Explores the definitions, history, and applications of conditional access in media security, covering user authentication techniques, smart cards, biometrics, and legal aspects.

Real-Time Bidding: Legal Aspects

Explores the legal implications of real-time bidding in online advertising, focusing on data protection and privacy concerns.

Machine Learning and Privacy

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

Privacy-preserving data publishing: K-anonymity and l-Diversity

Explores K-anonymity, l-Diversity, and data de-identification challenges, using real-life examples and discussing Airbnb's privacy efforts.

Privacy Engineering: Strategies and Paradigms

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

Technologies for Identity & Anonymity

Explores technologies for identity and anonymity, including e-ID, social media identities, and cryptographic signatures.

Privacy-preserving data publishing

Explores privacy risks in data publishing, failed de-identification attempts, and the use of synthetic data for privacy protection.

Asymmetric Cryptography: Basics and Applications

Explores asymmetric cryptography basics, including encryption, signatures, and Diffie-Hellman, along with advanced topics like RSA and quantum computing implications.

Privacy Technologies

Explores privacy technologies, emphasizing the importance of protecting communication layers and discussing anti-surveillance PETS and privacy properties.

Manipulating Opinions: Influence and Privacy

Delves into the impact of opinions, the Cambridge Analytica scandal, and practical steps to protect privacy.

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.

Swiss COVID: Security and Privacy

Explores the security and privacy challenges of the Swiss COVID contact tracing app, including fake notifications and time-based attacks.

Data Protection Laws in Switzerland

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