| Non-euclidean differentially private stochastic convex optimization R Bassily, C Guzmán, A Nandi Conference on Learning Theory, 474-499, 2021 | 64 | 2021 |
| Privately answering classification queries in the agnostic pac model A Nandi, R Bassily Algorithmic Learning Theory, 687-703, 2020 | 29* | 2020 |
| Learning from mixtures of private and public populations R Bassily, S Moran, A Nandi Advances in neural information processing systems 33, 2947-2957, 2020 | 25 | 2020 |
| Heavy-tailed independent component analysis J Anderson, N Goyal, A Nandi, L Rademacher 2015 IEEE 56th Annual Symposium on Foundations of Computer Science, 290-309, 2015 | 7 | 2015 |
| Heavy-tailed analogues of the covariance matrix for ICA J Anderson, N Goyal, A Nandi, L Rademacher Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 6 | 2017 |
| Privacy-Enhancing Technologies in Biomedical Data Science H Cho, D Froelicher, N Dokmai, A Nandi, S Sadhuka, MM Hong, B Berger Annual Review of Biomedical Data Science 7 (1), 317-343, 2024 | | 2024 |
| Addressing Fundamental Limitations in Differentially Private Machine Learning A Nandi The Ohio State University, 2021 | | 2021 |
| Efficiency of the floating body as a robust measure of dispersion L Rademacher, N Goyal, A Nandi | | |
