Speaker
Manolis Terrovitis
(ATHENA RC)
Description
This webinar introduces the key privacy challenges arising from machine learning and data-intensive applications. Participants will explore the principles of data anonymisation, pseudonymisation, and differential privacy, along with common privacy attacks targeting datasets and AI models. The session also examines how privacy risks can be assessed and mitigated when developing compliant and privacy-preserving AI solutions.
