Nicolas Papernot

Nicolas Papernot

I am an Assistant Professor in the Department of Electrical and Computer Engineering and the Department of Computer Science at the University of Toronto. I am also a faculty member at the Vector Institute where I hold a Canada CIFAR AI Chair.

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 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.

Students

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:

Teaching