large-scale computing

A blindfold approach improves machine learning privacy

1 min read · Mon, Apr 28 2025

machine learning artificial intelligence distributed systems large-scale computing

A query-based method for extracting knowledge from sensitive datasets without showing any underlying private data could resolve long-standing privacy concerns in machine learning.

Marco Canini

Associate Professor, Computer Science

machine learning artificial intelligence distributed systems large-scale computing cloud computing programmable networks

Professor Canini’s research seeks to improve networked-system design, implementation and operation concerning vital properties such as reliability, performance, security and energy efficiency.