Amol Khanna

According to our database, Amol Khanna authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Position: Challenges and Opportunities for Differential Privacy in the U.S. Federal Government.

Amol Khanna, Adam McCormick, André T. Nguyen, Chris Aguirre, Edward Raff

CoRR, 2024

Comprehensive OOD Detection Improvements.

Anish Lakkapragada, Amol Khanna, Edward Raff, Nathan Inkawhich

CoRR, 2024

SoK: A Review of Differentially Private Linear Models For High-Dimensional Data.

Amol Khanna, Edward Raff, Nathan Inkawhich

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024

Feature Selection from Differentially Private Correlations.

Ryan Swope, Amol Khanna, Philip Doldo, Saptarshi Roy, Edward Raff

Proceedings of the 2024 Workshop on Artificial Intelligence and Security, 2024

2023

Sparse Private LASSO Logistic Regression.

Amol Khanna, Fred Lu, Edward Raff, Brian Testa

CoRR, 2023

The Challenge of Differentially Private Screening Rules.

Amol Khanna, Fred Lu, Edward Raff

CoRR, 2023

Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations.

Edward Raff, Amol Khanna, Fred Lu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Differentially Private Logistic Regression with Sparse Solutions.

Amol Khanna, Fred Lu, Edward Raff, Brian Testa

Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023

2022

Privacy-preserving Model Training for Disease Prediction Using Federated Learning with Differential Privacy.

Amol Khanna, Vincent Schaffer, Gamze Gürsoy, Mark Gerstein

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022