Adam Dziedzic

Postdoctoral Fellow

Applied ML, Trustworthy ML, Robustness, Adversarial ML, ML in Healthcare, Data Science, Data Privacy, Applied Differential Privacy, FFT, Databases

Aditi Misra

Engineering Science student

Muhammad Ahmad Kaleem

Engineering Science student

Robustness, Differential Privacy, Self-supervised Learning, Model Extraction

Angéline Pouget

Research Intern

Trustworthy ML, AI Fairness, Privacy

Anvith Thudi

Mathematics Specialist Undergraduate student

Robustness, Adversarial Attacks, Unlearning, Verifiable-Learning

Armin Ale

Engineering Science student

Unlearning, Robustness, Audit & Verification, Differential Privacy, Distributed Learning, Finance

Hongyu (Charlie) Chen

Engineering Science student

Model Compression, AutoML, Out-Of-Distribution Detection, Information Theory

Emmy Fang

MS student

Privacy-Preserving Machine Learning, Collaborative Training, Natural Language Processing, Applications of ML in Healthcare

Franziska Boenisch

Research Intern

Privacy of ML, Robustness of ML, Differential Privacy, Privacy Attacks against ML, Data Anonymization, Privacy of Synthetic Data

Ilia Shumailov

Postdoctoral Fellow

Jiaqi Wang

MASc student

Differential Privacy, Collective Decision Making, Property Inference, Reinforcement Learning

Jonas Guan

PhD student

Robustness, Causality, Reinforcement Learning, Artificial General Intelligence, Malware Analysis

Mingyue Yang

PhD student

Program Analysis, Applied ML

Mohammad Yaghini

PhD student

Trustworthy ML, Intellectual Property of ML, Algorithmic Fairness, ML Safety in Audio Domain, Game Theory and Mechanism Design

Natalie Dullerud

MS student

Forms of Bias, Fairness, Verification, ML in Healthcare, DP Theory, Metric Learning, Adversarial Robustness, Empathy in RL

Nick Jia

PhD student

Robustness, Unlearning, Generative Models, Reinforcement Learning, DNN as Intellectual Property

Roei Schuster

Postdoctoral Fellow

S&P, NLP, Systems

Sierra Wyllie

Engineering Science student

Fairness, Reliability, Safety

Stephan Rabanser

PhD student

Robustness, Safety, Causality, Reliability, Uncertainty Quantification, Distribution Shifts, Generative Models, Anomaly Detection

Yannis Cattan

Research Intern

Applied ML, NLP, Reinforcement Learning