ML-Based Security Analysis and Mitigation of Homomorphic Encryption Side-Channels, CAEML Core Project 5A4

This project is led by a team of graduate students at North Carolina State University (NCSU), along with faculty advisors.

This project aims to explore early detection of side-channel vulnerabilities led by a team of graduate students from NC State, along with their faculty advisors. The team will use a variety of methods to detect side-channel vulnerabilities, such as code reviews, fuzzing, and software analyses. Their goal is to find vulnerabilities before they become actual threats to system security. This project will provide valuable insights to system security and is an important step in developing safe, secure systems.

Sponsor

Principle Investigators

Aydin Aysu
Paul D. Franzon

More Details

This project will explore early detection of side-channel vulnerabilities.