732 citations · 1.7k across the 44 of their papers we have counts for
5 papers · 1 filter
A Differentially Private Kaplan-Meier Estimator for Privacy-Preserving Survival Analysis
Narasimha Raghavan Veeraragavan, Sai Praneeth Karimireddy, Jan Franz Nygård
This paper presents a differentially private approach to Kaplan-Meier estimation that achieves accurate survival probability estimates while safeguarding individual privacy. The Ka…
Defection-Free Collaboration between Competitors in a Learning System
Mariel Werner, Sai Praneeth Karimireddy, Michael I. Jordan
We study collaborative learning systems in which the participants are competitors who will defect from the system if they lose revenue by collaborating. As such, we frame the syste…
Collaborative Heterogeneous Causal Inference Beyond Meta-analysis
Tianyu Guo, Sai Praneeth Karimireddy, Michael I. Jordan
Collaboration between different data centers is often challenged by heterogeneity across sites. To account for the heterogeneity, the state-of-the-art method is to re-weight the co…
Privacy Can Arise Endogenously in an Economic System with Learning Agents
Nivasini Ananthakrishnan, Tiffany Ding, Mariel Werner +2
We study price-discrimination games between buyers and a seller where privacy arises endogenously--that is, utility maximization yields equilibrium strategies where privacy occurs…
DAVED: Data Acquisition via Experimental Design for Data Markets
Charles Lu, Baihe Huang, Sai Praneeth Karimireddy +3
The acquisition of training data is crucial for machine learning applications. Data markets can increase the supply of data, particularly in data-scarce domains such as healthcare,…