SEPAL @ Georgia Tech
SEcure and Practical Algorithms for Learning
Our group is focused on the design and analysis of algorithms for machine learning, with a focus on security and privacy. We span theory and practice, particularly interested in the design and analysis of algorithms that are robust to adversarial attacks, formal verification, cryptography, and in the design of algorithms that are privacy-preserving.
We are lucky to have a great group of students and collaborators.
PhD Students
- Jehad Hussein
- Caroline Huang
- Zedian Shao
- Kevin Dai
- Sankha Das, co-advised with Vlad Kolesnikov
Undergraduate / Master’s Students
- Yash Chauhan
Alumni
- Jason Zhang (→ Adobe, San Jose)
- Adrian Cheung (→ Amazon, Seattle)
Collaborators
- Evangelos Froudakis, PhD student in ECE GaTech
- Varkey John, PhD student in ECE GaTech
- Sidong Guo, PhD student in ECE GaTech