Nicolas Papernot

Nicolas Papernot

Welcome! I am an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Toronto and a Canada CIFAR AI Chair at the Vector Institute. 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, for example about differentially private ML or adversarial examples.

I earned my Ph.D. in Computer Science and Engineering at the Pennsylvania State University, working with Prof. Patrick McDaniel and supported by a Google PhD Fellowship. Upon graduating, I spent a year at Google Brain in Úlfar Erlingsson's group.

Email: [email protected]

Office: Pratt 484E (office hours will resume early February)

Mail/Packages: 10 King's College Road, Room SFB540, Toronto, ON M5S 3G8, Canada

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I am chairing a workshop at ICLR 2020 on Trustworthy ML, consider submitting your work. This a workshop co-organized with Carmela Troncoso, Florian Tramer (co-chair), Nicholas Carlini, and Shibani Santurkar.

Positions available

Upcoming Talks

Here is a list of talks I will be giving. Feel free to reach out if you will be attending one of these events and would like to meet.

A complete list of talks I previously gave is available in my CV.


Selected publications

A complete list of publications is available in my CV.

Recorded Talks and Blog Posts

These resources are a good overview of my research interests. The following three videos are (left) a lecture I gave in the Spring 2019 on security and privacy in machine learning, (middle) an oral I gave on PATE at ICLR 2017, and (right) a talk that highlights our early work on security in machine learning.

Here is a list of blog posts discussing some of the research questions I'm interested in: