Privacy-preserving Data Publishing: Differential Privacy Concepts

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (32)

Page 3 of 4

Explores risks and techniques in de-anonymizing data, including flaws in methods and real-world examples of failed attempts.

Cloud and Aggregation: Security and Privacy

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

Location Privacy

Explores the challenges of protecting location privacy and various techniques to mitigate location-related inferences, highlighting the importance of trust assumptions and practical issues.

Machine Learning and Privacy

Delves into Differential Privacy trade-offs, disparate impact, and machine learning-based privacy attacks.

Data Protection Principles

Discusses the importance of data protection, including the right to be forgotten and principles of data processing.

Media Security Standards

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

Differential Privacy: Achieving Privacy-preserving Data Publishing

Explores differential privacy for privacy-preserving data publishing through input and output perturbation techniques.

Privacy-Preserving Federated Analytics for Personalized Medicine

Delves into privacy-preserving federated analytics for personalized medicine, discussing challenges, solutions, and real-world applications.

Privacy Engineering: Design Principles and SwissCovid Case Study

Explores Privacy by Design principles, data minimization, trust minimization, and the SwissCovid app case study.

Privacy-Preserving Data Management: Intro and Secure Operations

Covers the motivation behind privacy-preserving data management and the intersection protocol for secure operations across private databases.