Lecture
Machine Learning and Privacy
Description
This lecture explores the intersection between machine learning and privacy, discussing topics such as data collection, model training, deployment, attacks on private data, responsible use of private data, and the implications of machine learning models on privacy. It delves into the concept of membership inference, attribute inference, overfitting, threshold attacks, and the vulnerability of models to privacy breaches, providing insights on how adversaries can exploit machine learning models to infer sensitive information.
Official source
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.