Lecture

World of Data: Privacy Regulation

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)

Privacy Enhancing Technologies

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

Privacy: Why is privacy important

Explores the importance of privacy in democratic societies and the shared security infrastructure across individuals, industry, and governments.

Protecting Data: Strategies and Risks

Explores data protection strategies, including preventive measures and risks, with a focus on EPFL's data security.

Data Protection and Privacy

Discusses the importance of handling data with dignity and respect.

Data Privacy: Anonymization and Protection

Discusses choosing relevant capsules and data privacy techniques.

Homomorphic Encryption: Delegating Calculations Securely

Explores homomorphic encryption, enabling secure computations on encrypted data without data exposure, with applications in healthcare and finance.

Personalized Health Data Protection

Explores the legal aspects of sharing health research data in Switzerland, emphasizing data protection and security measures.

Security Principles: Least Privilege, Common Mechanism, Acceptability

Explores security principles like least privilege, common mechanism, and user acceptability to enhance system protection.

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.

Machine Learning Security

Explores machine learning security, including model stealing, altering outputs, adversarial conditions, and privacy challenges, emphasizing the importance of addressing biases in machine learning models.

Anonymous communications

Explores the significance of anonymous communications in safeguarding privacy and security, covering challenges, applications, system design, and quantifying anonymity levels.

Cloud and Aggregation

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

Homomorphic Encryption: Cloud and Aggregation

Explores homomorphic encryption for secure cloud computing and data aggregation.

Trust and Privacy

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

Privacy Laws: EU vs USA

Compares EU's GDPR with US privacy laws, emphasizing responsibilities, accountability, and consequences of data breaches.

Servers: Security and Privacy

Explores server security, privacy, attacks, blockchains, encryption, and defense strategies against cyber threats.

Location Privacy

Covers the measurement of privacy in location data, defense mechanisms, and challenges in protecting location privacy.

Privacy-preserving data publishing: mechanisms and differential privacy

Explores privacy-preserving data publishing mechanisms and introduces the concept of differential privacy to protect individual data while providing accurate statistics.

Media Security Standards

Explores the definition of media security standards and the standardization of a framework rather than a specific security tool.

Legal Aspects: Data Protection Law

Explores the legal aspects of data protection law, covering historical developments, international instruments, GDPR provisions, and fundamental rights.