Guarding the ML Galaxy - Beyond Accuracy to Privacy and Security

Explore the critical aspects of privacy and security in machine learning systems through this 43-minute conference talk by Jigyasa Grover and Rishabh Misra at the Linux Foundation. Delve into the evolution and widespread adoption of ML across various domains, examining its profound impact on decision-making and daily life. Analyze the contemporary interpretation of privacy and security in ML and its significance in diverse settings. Review prevalent types of privacy attacks on ML systems and discover techniques for safeguarding data privacy, protecting proprietary designs, and ensuring the security of deployed models. Learn about staying compliant with the latest regulations and policies to build trust among all stakeholders in the ML ecosystem.