<b>Navid Rajabi</b>
Junwen Chen
Johanna Hansen
I am a researcher in Google Deepmind, on the Brain Privacy and Security team. My focuses are privacy-preserving and adversarial machine learning. I mainly work on DP algorithms and studying memorization and harms from language models; but, I've also worked on privacy auditing techniques, collaborative learning approaches, and methods for ownership-verification.
My research interests are at the intersection of security, privacy, and machine learning. If you would like to learn more about my research, I recommend reading the blog posts I co-authored on cleverhans.io , for example about machine unlearning , differentially private ML , or adversarial examples .
Previously, I was an AI Resident at Google and a researcher in the CleverHans Lab at the Vector Institute. I graduated from the University of Toronto, where I had a full scholarship .
<b>Navid Rajabi</b>
Junwen Chen
Johanna Hansen