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Vinith M. Suriyakumar
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Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings
VM Suriyakumar, N Papernot, A Goldenberg, M Ghassemi
ACM Conference on Fairness, Accountability, and Transparency (FAccT) 2021, 2020
592020
Can You Fake It Until You Make It?: Impacts of Differentially Private Synthetic Data on Downstream Classification Fairness
V Cheng, VM Suriyakumar, N Dullerud, S Joshi, M Ghassemi
ACM Conference on Fairness, Accountability, and Transparency (FAccT) 2021, 2020
422020
Public Data-Assisted Mirror Descent for Private Model Training
E Amid, A Ganesh, R Matthews, S Ramaswamy, S Song, T Steinke, ...
https://arxiv.org/abs/2112.00193, 2021
382021
When personalization harms: Reconsidering the use of group attributes in prediction
VM Suriyakumar, M Ghassemi, B Ustun
arXiv preprint arXiv:2206.02058, 2022
132022
One-shot Empirical Privacy Estimation for Federated Learning
G Andrew, P Kairouz, S Oh, A Oprea, HB McMahan, V Suriyakumar
arXiv preprint arXiv:2302.03098, 2023
112023
Algorithms that Approximate Data Removal: New Results and Limitations
VM Suriyakumar, AC Wilson
NeurIPS 2022, 2022
72022
Open-source software for collision detection in external beam radiation therapy
VM Suriyakumar, R Xu, C Pinter, G Fichtinger
Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and …, 2017
52017
Using Generative Models for Pediatric wbMRI
A Chang, VM Suriyakumar, A Moturu, N Tewattanarat, A Doria, ...
Medical Imaging in Deep Learning, 2020
42020
Algorithmic Pluralism: A Structural Approach Towards Equal Opportunity
S Jain, V Suriyakumar, A Wilson
arXiv preprint arXiv:2305.08157, 2023
22023
Challenges of differentially private prediction in healthcare settings
VM Suriyakumar, N Papernot, A Goldenberg, M Ghassemi
Proceedings of the IJCAI 2021 Workshop on AI for Social Good, 2021
22021
When Personalization Harms Performance: Reconsidering the Use of Group Attributes in Prediction
VM Suriyakumar, M Ghassemi, B Ustun
12023
Algorithmic Pluralism
S JAIN, VM SURIYAKUMAR, KA CREEL, AC WILSON
arXiv preprint arXiv:2305.08157, 2023
2023
Leveraging Public Data in Training Neural Networks with Private Mirror Descent
OD Thakkar, E Amid, A Ganesh, R Mathews, S Ramaswamy, S Song, ...
US Patent App. 17/937,825, 2023
2023
Private Multi-Winner Voting for Machine Learning
A Dziedzic, CA Choquette-Choo, N Dullerud, VM Suriyakumar, ...
arXiv preprint arXiv:2211.15410, 2022
2022
Limits of Algorithmic Stability for Distributional Generalization
N Hulkund, VM Suriyakumar, TW Killian, M Ghassemi
2022
3D Reasoning for Unsupervised Anomaly Detection in Pediatric WbMRI
A Chang, V Suriyakumar, A Moturu, J Tu, N Tewattanarat, S Joshi, A Doria, ...
arXiv preprint arXiv:2103.13497, 2021
2021
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