Guarding the ML Galaxy - Beyond Accuracy to Privacy and Security

This talk examines privacy and security risks in machine learning, including privacy attacks, data leakage, and reverse engineering. It introduces techniques to protect sensitive data and proprietary designs, secure deployed models, and address relevant regulations and policies.