Project Info
Attacking and Defending AI Systems
Chuan Yue | chuanyue@mines.edu
Traditionally, AI (Artificial intelligence) systems were designed without considering the potential adversaries that may attack the systems. This project aims to quantify the adversaries’ capabilities of attacking some AI systems from both the system perspective and the algorithm (especially machine learning algorithm) perspective, and design simple yet effective solutions to defend against the potential attacks. Good programming skills as well as basic machine learning knowledge are expected for students who are interested in this project.
More Information
Please contact Dr. Chuan Yue (chuanyue@mines.edu; BB 280-D) for more details.
Grand Engineering Challenge: Secure cyberspace
Student Preparation
Qualifications
Strong motivation and interest in securing the cyberspace. Good programming skills as well as basic machine learning knowledge are expected for students who are interested in this project.
Time Commitment
40 hours/month
Skills/Techniques Gained
Research methodology, Security risk analysis, Cybersecurity system design and implementation.
Mentoring Plan
1. Weekly project meeting.
2. Highly level guidance on research direction and methodology.
3. Teamwork with PhD and master students.