Vinith M. Suriyakumar

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Topics

Differentially Private

Unsupervised Anomaly Detection

Discriminatively Trained

Top Venues

Medical Imaging: Image-Guided Procedures

Publications

Shomik Jain, Vinith M. Suriyakumar, Kathleen Creel, Ashia Wilson
Algorithmic Pluralism: A Structural Approach To Equal Opportunity. FAccT (2024)
Tanner Andrulis, Gohar Irfan Chaudhry, Vinith M. Suriyakumar, Joel S. Emer, Vivienne Sze
Architecture-Level Modeling of Photonic Deep Neural Network Accelerators. ISPASS (2024)
Tanner Andrulis, Gohar Irfan Chaudhry, Vinith M. Suriyakumar, Joel S. Emer, Vivienne Sze
Architecture-Level Modeling of Photonic Deep Neural Network Accelerators. CoRR (2024)
Adam Dziedzic, Christopher A. Choquette-Choo, Natalie Dullerud, Vinith M. Suriyakumar, Ali Shahin Shamsabadi, Muhammad Ahmad Kaleem, Somesh Jha, Nicolas Papernot, Xiao Wang
Private Multi-Winner Voting for Machine Learning. Proc. Priv. Enhancing Technol. 2023 (1) (2023)
Vinith M. Suriyakumar, Ashia C. Wilson
Algorithms that Approximate Data Removal: New Results and Limitations. CoRR (2022)
Vinith M. Suriyakumar, Ashia C. Wilson
Algorithms that Approximate Data Removal: New Results and Limitations. NeurIPS (2022)
Vinith M. Suriyakumar, Marzyeh Ghassemi, Berk Ustun
When Personalization Harms: Reconsidering the Use of Group Attributes in Prediction. CoRR (2022)
Ehsan Amid, Arun Ganesh, Rajiv Mathews, Swaroop Ramaswamy, Shuang Song, Thomas Steinke, Vinith M. Suriyakumar, Om Thakkar, Abhradeep Thakurta
Public Data-Assisted Mirror Descent for Private Model Training. ICML (2022)
Victoria Cheng, Vinith M. Suriyakumar, Natalie Dullerud, Shalmali Joshi, Marzyeh Ghassemi
Can You Fake It Until You Make It?: Impacts of Differentially Private Synthetic Data on Downstream Classification Fairness. FAccT (2021)
Alex Chang, Vinith M. Suriyakumar, Abhishek Moturu, James Tu, Nipaporn Tewattanarat, Sayali Joshi, Andrea Doria, Anna Goldenberg
3D Reasoning for Unsupervised Anomaly Detection in Pediatric WbMRI. CoRR (2021)
Vinith M. Suriyakumar, Nicolas Papernot, Anna Goldenberg, Marzyeh Ghassemi
Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings. FAccT (2021)
Ehsan Amid, Arun Ganesh, Rajiv Mathews, Swaroop Ramaswamy, Shuang Song, Thomas Steinke, Vinith M. Suriyakumar, Om Thakkar, Abhradeep Thakurta
Public Data-Assisted Mirror Descent for Private Model Training. CoRR (2021)
Vinith M. Suriyakumar, Nicolas Papernot, Anna Goldenberg, Marzyeh Ghassemi
Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings. CoRR (2020)
Alex Chang, Vinith M. Suriyakumar, Abhishek Moturu, Nipaporn Tewattanarat, Andrea Doria, Anna Goldenberg
Using Generative Models for Pediatric wbMRI. CoRR (2020)
Vinith M. Suriyakumar, Renee Xu, Csaba Pinter, Gabor Fichtinger
Open-source software for collision detection in external beam radiation therapy. Medical Imaging: Image-Guided Procedures (2017)