3 papers
cs.SC2022
AI-Assisted Discovery of Quantitative and Formal Models in Social Science
Julia Balla, Sihao Huang, Owen Dugan +2
In social science, formal and quantitative models, such as ones describing economic growth and collective action, are used to formulate mechanistic explanations, provide prediction…
cs.LG2021
PrivateMail: Supervised Manifold Learning of Deep Features With Differential Privacy for Image Retrieval
Praneeth Vepakomma, Julia Balla, Ramesh Raskar
Differential Privacy offers strong guarantees such as immutable privacy under post processing. Thus it is often looked to as a solution to learning on scattered and isolated data.…
cs.LG2020
Splintering with distributions: A stochastic decoy scheme for private computation
Praneeth Vepakomma, Julia Balla, Ramesh Raskar
Performing computations while maintaining privacy is an important problem in todays distributed machine learning solutions. Consider the following two set ups between a client and…