group
Students working on the security of AI systems.
I advise students working on data poisoning and backdoors, adversarial robustness, and the security of the machine learning stack — from the training data down to the accelerator.
Ph.D. Students
Sanskar Amgain
Hardware–model combined security
Ony Hoque
Trustworthy federated learning
Co-advised with Stella Sun
Co-advised with Stella Sun
M.S. Students
Qipan Xu
Machine learning runtime Trojans
Alumni
Impact of stylistic transfer on LLMs
I am looking for self-motivated students to work on trustworthy machine learning and machine learning for security. Please fill out the questionnaire and send me an email.