Amol Khanna

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 9

Top Topics

Logistic Regression

Differential Privacy

Top Venues

Publications

Amol Khanna, Edward Raff, Nathan Inkawhich
SoK: A Review of Differentially Private Linear Models For High-Dimensional Data. SaTML (2024)
Anish Lakkapragada, Amol Khanna, Edward Raff, Nathan Inkawhich
Comprehensive OOD Detection Improvements. CoRR (2024)
Amol Khanna, Edward Raff, Nathan Inkawhich
SoK: A Review of Differentially Private Linear Models For High-Dimensional Data. CoRR (2024)
Amol Khanna, Fred Lu, Edward Raff, Brian Testa
Differentially Private Logistic Regression with Sparse Solutions. AISec@CCS (2023)
Edward Raff, Amol Khanna, Fred Lu
Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations. CoRR (2023)
Amol Khanna, Fred Lu, Edward Raff, Brian Testa
Sparse Private LASSO Logistic Regression. CoRR (2023)
Amol Khanna, Fred Lu, Edward Raff
The Challenge of Differentially Private Screening Rules. CoRR (2023)
Edward Raff, Amol Khanna, Fred Lu
Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations. NeurIPS (2023)
Amol Khanna, Vincent Schaffer, Gamze Gürsoy, Mark Gerstein
Privacy-preserving Model Training for Disease Prediction Using Federated Learning with Differential Privacy. EMBC (2022)