
Explore privacy-enhancing technologies for data protection, balancing privacy and utility in software development. Learn open-source tools and best practices for implementing privacy by design in data science projects.

Explore practical data privacy implementation with open-source libraries, privacy-enhancing technologies, and strategies for balancing privacy and utility in software development and data science projects.

Explore Uber's collaborative approach to privacy engineering, blending data analysis with robust privacy measures to enhance services while ensuring regulatory compliance and user protection.

Explore the practical challenges of implementing differential privacy systems, from explaining technical guarantees to non-experts to preventing misuse and integrating with existing security tools.

Exploring a framework for measuring lineage performance in data systems, aiding product teams and privacy engineers in selecting effective approaches for privacy protection.

Learn to establish a privacy engineering program within a security team, leveraging existing practices and tools to enhance personal data protection.

Discover how xCOMPASS framework simplifies privacy threat modeling through lightweight questionnaires, helping developers identify and implement privacy requirements without extensive domain expertise.

The idea behind this talk is to make the audience understand that in a world where data equals power, a breach of personal information can destroy lives and legacies. Making privacy not just a right, but a survival necessity in today’s connected world. Adeife is a cybersecurity manager and AI govern