Intro to Privacy-Enhancing Libraries for AI Security Specialists

Master the essentials of Privacy-Enhancing Technologies (PETs) to fortify AI systems against data privacy breaches and novel threats, ensuring robust model integrity and safety.
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Foundations of Privacy-Preserving AI and Differential Privacy

Unit 1: Understanding AI Privacy Challenges

Unit 2: Introduction to Differential Privacy

Unit 3: Exploring Differential Privacy Libraries

Unit 4: Applying Differential Privacy

Federated Learning and PETs in Collaborative AI

Unit 1: Introduction to Federated Learning

Unit 2: Getting Started with PySyft

Unit 3: Evaluating Federated Learning Systems