Nicolas Papernot

Nicolas Papernot

Welcome! I am a research scientist at Google Brain working on the security and privacy of machine learning in Úlfar Erlingsson's group. I will join the University of Toronto and Vector Institute as an assistant professor and Canada CIFAR AI Chair in the Fall 2019. If you'd 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 in Security. Previously, I received my M.S. and B.S. in Engineering Sciences from the Ecole Centrale de Lyon; which I attended after completing my classe préparatoire at the Lycée Louis-le-Grand.

Address: 1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA

Email: [email protected]

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Selected publications

A complete list of publications is available in my CV.

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.

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:


If you are interested in joining my research group as a graduate student, please fill the following form and apply to the ECE or CS program.