Amol Khanna - RankMe

19 papers A* 2Journal 11Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adversarial Samples Are Not Created Equal. CoRR Jennifer Crawford, Amol Khanna, Fred Lu, Amy R. Wagoner, Stella Biderman, André T. Nguyen, Edward Raff
2025	—	`conf`	Differentially Private Iterative Screening Rules for Linear Regression. CODASPY Amol Khanna, Fred Lu, Edward Raff
2025	J	`jnl`	Differentially Private Iterative Screening Rules for Linear Regression. CoRR Amol Khanna, Fred Lu, Edward Raff
2025	—	`conf`	Multi-layer Radial Basis Function Networks for Out-of-distribution Detection. CVPR Workshops Amol Khanna, Chenyi Ling, Derek Everett, Edward Raff, Nathan Inkawhich
2025	J	`jnl`	Multi-layer Radial Basis Function Networks for Out-of-distribution Detection. CoRR Amol Khanna, Chenyi Ling, Derek Everett, Edward Raff, Nathan Inkawhich
2025	A*	`conf`	Stop Walking in Circles! Bailing Out Early in Projected Gradient Descent. CVPR Philip Doldo, Derek Everett, Amol Khanna, André T. Nguyen, Edward Raff
2025	J	`jnl`	Stop Walking in Circles! Bailing Out Early in Projected Gradient Descent. CoRR Philip Doldo, Derek Everett, Amol Khanna, André T. Nguyen, Edward Raff
2024	J	`jnl`	Comprehensive OOD Detection Improvements. CoRR Anish Lakkapragada, Amol Khanna, Edward Raff, Nathan Inkawhich
2024	—	`conf`	Feature Selection from Differentially Private Correlations. AISec@CCS Ryan Swope, Amol Khanna, Philip Doldo, Saptarshi Roy, Edward Raff
2024	J	`jnl`	Feature Selection from Differentially Private Correlations. CoRR Ryan Swope, Amol Khanna, Philip Doldo, Saptarshi Roy, Edward Raff
2024	J	`jnl`	Position: Challenges and Opportunities for Differential Privacy in the U.S. Federal Government. CoRR Amol Khanna, Adam McCormick, André T. Nguyen, Chris Aguirre, Edward Raff
2024	—	`conf`	SoK: A Review of Differentially Private Linear Models For High-Dimensional Data. SaTML Amol Khanna, Edward Raff, Nathan Inkawhich
2024	J	`jnl`	SoK: A Review of Differentially Private Linear Models For High-Dimensional Data. CoRR Amol Khanna, Edward Raff, Nathan Inkawhich
2023	—	`conf`	Differentially Private Logistic Regression with Sparse Solutions. AISec@CCS Amol Khanna, Fred Lu, Edward Raff, Brian Testa
2023	A*	`conf`	Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations. NeurIPS Edward Raff, Amol Khanna, Fred Lu
2023	J	`jnl`	Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations. CoRR Edward Raff, Amol Khanna, Fred Lu
2023	J	`jnl`	Sparse Private LASSO Logistic Regression. CoRR Amol Khanna, Fred Lu, Edward Raff, Brian Testa
2023	J	`jnl`	The Challenge of Differentially Private Screening Rules. CoRR Amol Khanna, Fred Lu, Edward Raff
2022	—	`conf`	Privacy-preserving Model Training for Disease Prediction Using Federated Learning with Differential Privacy. EMBC Amol Khanna, Vincent Schaffer, Gamze Gürsoy, Mark Gerstein