Welcome to The Salon!

The Salon is a group dedicated to the study of Statistics, Algorithms, Learning, and OptimizatioN. It is led by Professor Gautam Kamath at the Cheriton School of Computer Science at the University of Waterloo. Its members are also affiliated with the Vector Institute. Current emphases of the group include enriching our understanding of data privacy and robustness in statistics and machine learning.

The name of The Salon is in reference to the French practice from the 17th and 18th centuries, a central venue for exchange of some of the most important ideas of the era.

News

Recent Publications

Sushant Agarwal, Gautam Kamath, Mahbod Majid, Argyris Mouzakis, Rose Silver, Jonathan Ullman
January 2025 Proceedings of the 36th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2025)

Private Mean Estimation with Person-Level Differential Privacy

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Jie Zhang, Debeshee Das, Gautam Kamath, Florian Tramèr
September 2024 arXiv preprint arXiv:2409.19798

Membership Inference Attacks Cannot Prove that a Model Was Trained On Your Data

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Ruicheng Xian, Qiaobo Li, Gautam Kamath, Han Zhao
July 2024 Proceedings of the 41st International Conference on Machine Learning (ICML 2024)

Differentially Private Post-Processing for Fair Regression

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Yiwei Lu, Matthew Y.R. Yang, Zuoqiu Liu, Gautam Kamath, Yaoliang Yu
July 2024 Proceedings of the 41st International Conference on Machine Learning (ICML 2024)

Disguised Copyright Infringement of Latent Diffusion Models

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Florian Tramèr, Gautam Kamath, Nicholas Carlini
July 2024 Proceedings of the 41st International Conference on Machine Learning (ICML 2024)

Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining

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See all publications

Members

Le Salonneur

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Gautam Kamath

Assistant Professor of Computer Science

Statistics, Machine Learning, Data Privacy, Robustness

Graduate Researchers

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Argyris Mouzakis

PhD Computer Science Student

Machine Learning Theory, Algorithmic Statistics, Privacy, Applied Probability

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Jimmy Di

MMath in Computer Science Student

Machine Unlearning, Privacy, Robustness

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Matthew Regehr

Phd Computer Science Student

Machine Learning, Differential Privacy, Reinforcement Learning

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Sabrina Mokhtari

MMath Computer Science Student

Privacy and Fairness in Machine Learning, Computer Vision

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Sara Kodeiri

MMath Computer Science Student

Privacy, Natural Language Processing

Undergraduate Researchers

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Matthew Yang

Bachelor of Computer Science

Machine Learning, Differential Privacy

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Valentio Iverson

BMath in Computer Science

Machine Learning Theory, Probability & Statistics, Optimization

Affiliated Researchers

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Shubhankar Mohapatra

PhD Computer Science Student

Data Privacy, Machine Learning, Federated Learning, Data Cleaning

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Yiwei Lu

PhD Computer Science Student

Machine Learning, Data Poisoning, Robustness