Nicolas PapernotProfile page
Assistant Professor
Faculty of Applied Science and Engineering, Edward S. Rogers Sr. Department of Electrical and Computer Engineering
Orcid identifier0000-0001-5078-7233
- Assistant ProfessorFaculty of Applied Science and Engineering, Edward S. Rogers Sr. Department of Electrical and Computer Engineering
- 416-978-7600 (Work)
- University of Toronto, The Edward S. Rogers Sr. Department of Electrical & Computer Engineering, 10 King’s College Road, Toronto, ON, M5S 3G4, Canada
BIO
I am an Assistant Professor at the University of Toronto, in the Department of Electrical and Computer Engineering and the Department of Computer Science. I am also a faculty member at the Vector Institute where I hold a Canada CIFAR AI Chair, and a faculty affiliate at the Schwartz Reisman Institute. In 2022, I was named an Alfred P. Sloan Research Fellow in Computer Science.
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 proof-of-learning, collaborative learning beyond federation, dataset inference, machine unlearning, differentially private ML, or adversarial examples.
My research has been cited in the press, including the New York Times, Popular Science, and Wired. I currently serve as a Program Committee Chair of the IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), an Associate Chair of the IEEE Symposium on Security and Privacy (S&P), and an Area Chair of NeurIPS. 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 where I still spend some of my time.
Media availability: TV, Radio, Print/Online
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 proof-of-learning, collaborative learning beyond federation, dataset inference, machine unlearning, differentially private ML, or adversarial examples.
My research has been cited in the press, including the New York Times, Popular Science, and Wired. I currently serve as a Program Committee Chair of the IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), an Associate Chair of the IEEE Symposium on Security and Privacy (S&P), and an Area Chair of NeurIPS. 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 where I still spend some of my time.
Media availability: TV, Radio, Print/Online
ACADEMIC POSITIONS
- Assistant ProfessorUniversity of Toronto, Toronto, Canada1 Sep 2019 - present
NON-ACADEMIC POSITIONS
- Canada CIFAR AI Chair and Faculty MemberVector Institute, Toronto, Canada1 Sep 2019 - present
- Research ScientistGoogle Brain1 Aug 2018 - present
DEGREES
- PhDPennsylvania State University, State College, United States
LANGUAGES
- EnglishCan read, write, speak, understand and peer review
- FrenchCan read, write, speak, understand and peer review
AVAILABILITY
- Media enquiries
INSTITUTIONAL STRATEGIC INITIATIVES
- Schwartz Reisman Institute for Technology and Society (SRI)