PHAROS AI Factory announces the 11th Course of its Training Series, Topic AI Ethics: “Assessing and Mitigating Privacy Risks in Machine Learning and Data-Intensive Environments“, held online via Zoom on July 14th, 2026.
Presentation language: Greek
Audience: Compliance Officers, Healthcare Experts
Location: Online via Zoom (you will get the zoom link upon registration)
Learning Objectives:
- Understand the privacy challenges introduced by modern data sharing and machine learning applications.
- Learn the legal and technical differences between anonymization and pseudonymization under GDPR.
- Become familiar with established anonymization techniques, including k-anonymity and km-anonymity, and understand their applicability and limitations.
- Understand the principles of differential privacy and its role in privacy-preserving data analysis and machine learning.
- Gain practical experience using the Amnesia anonymization platform.
- Understand the most important privacy attacks targeting machine learning models and training datasets.
- Learn about privacy-preserving machine learning approaches, including federated learning and differential privacy.
The course’s agenda can be found here.
Register to attend by filling out the form here.
