We are looking for one undergraduate researcher to work on researching the security aspects of AI or machine learning system. ML system is subject to attacks that compromise its accuracy or leak its data. Student working in this topic will explore in system techniques to ensure the confidentiality and integrity of ML systems. Students will work with a team of mentors consisting of faculty in the Cybersecurity & Privacy Cluster and PhD students in the cluster. Students may be provided with desk space in a lab and a workstation (subject to availability).
Start Date: 1/8/2024 - End Date: 5/1/2024
Type of Project
Work 10 hours a week, read papers, brainstorming with team, report and presentation at the end, release of source code.
10 hours/week hour(s)
At least junior, excellent programming skills, good GPA, intellectual curiosity, resourceful, and self driven.
Interested in Working With the Following Programs
For EXCEL URE Students Only