Vinith Suriyakumar
MIT EECS, LIDS, IMES, Bridgewater Associates
I am a fifth year PhD student at MIT EECS where I am advised by Dr. Ashia Wilson and Dr. Marzyeh Ghassemi. I also collaborate frequently with Dr. Dylan Hadfield-Menell. I’m supported through a fellowship from Bridgewater Associates and AIA Lab led by Dr. Jas Sekhon where I also conduct research part-time.
Broadly, I’m interested in the privacy, security, and safety of machine learning. The goal of my research is to prevent the misuse of foundation models, especially when it comes to open-sourcing these models. Areas that I work on towards addressing this goal include: unlearning, memorization, steering, interpretability, and monitoring.
news
| Jun 3, 2024 | Our work on developing a philosophical framework to better reason about the impact of algorithmic decision-making on equal opportunity, Algorithmic Pluralism: A Structural Approach Towards Equal Opportunity, was awarded Best Paper at FAccT 2024! |
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| Jan 15, 2024 | Our work on developing an efficient method for estimating privacy with only one training run in federated learning setups, One-Shot Empirical Privacy Estimation for Federated Learning, was awarded an Oral presentation at ICLR 2024! |
| Apr 29, 2023 | Our work on formalizing and analyzing how to fairly use group attributes in prediction models, When Personalization Harms: Reconsidering the Use of Group Attributes in Prediction, was awarded an Oral presentation at ICML 2023! |
| May 14, 2022 | I’m excited to announce that our work from my Summer 2021 internship at Google on Public Data-Assisted Mirror Descent for Private Model Training was accepted to ICML 2022! |
| Mar 30, 2022 | I’m excited to announce that I’ve accepted an offer to return to Google this summer as a Student Researcher working with Dr. Peter Kairouz and Dr. Galen Andrew! |