Principal Investigator
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Prof. Nicolas Papernot
Nicolas is an Assistant Professor in the Department of Electrical and Computer Engineering and the Department of Computer Science at the University of Toronto. He is also a faculty member at the Vector Institute where he holds a Canada CIFAR AI Chair.
Current Members
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Adam Dziedzic
Postdoctoral Fellow
Applied ML, Trustworthy ML, Robustness, Adversarial ML, ML in Healthcare, Data Science, Data Privacy, Applied Differential Privacy, FFT, Databases
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Muhammad Ahmad Kaleem
Engineering Science student
Robustness, Differential Privacy, Self-supervised Learning, Model Extraction
Anvith Thudi
Mathematics Specialist Undergraduate student
Robustness, Adversarial Attacks, Unlearning, Verifiable-Learning
Hongyu (Charlie) Chen
Engineering Science student
Model Compression, AutoML, Out-Of-Distribution Detection, Information Theory
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Emmy Fang
MS student
Privacy-Preserving Machine Learning, Collaborative Training, Natural Language Processing, Applications of ML in Healthcare
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Franziska Boenisch
Research Intern
Privacy of ML, Robustness of ML, Differential Privacy, Privacy Attacks against ML, Data Anonymization, Privacy of Synthetic Data
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Jiaqi Wang
MASc student
Differential Privacy, Collective Decision Making, Property Inference, Reinforcement Learning
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Jonas Guan
PhD student
Robustness, Causality, Reinforcement Learning, Artificial General Intelligence, Malware Analysis
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Mohammad Yaghini
PhD student
Trustworthy ML, Intellectual Property of ML, Algorithmic Fairness, ML Safety in Audio Domain, Game Theory and Mechanism Design
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Natalie Dullerud
MS student
Forms of Bias, Fairness, Verification, ML in Healthcare, DP Theory, Metric Learning, Adversarial Robustness, Empathy in RL
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Nick Jia
PhD student
Robustness, Unlearning, Generative Models, Reinforcement Learning, DNN as Intellectual Property
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Stephan Rabanser
PhD student
Robustness, Safety, Causality, Reliability, Uncertainty Quantification, Distribution Shifts, Generative Models, Anomaly Detection