| Lattice reduction for modules, or how to reduce moduleSVP to moduleSVP T Mukherjee, N Stephens-Davidowitz Annual International Cryptology Conference, 213-242, 2020 | 32 | 2020 |
| How to make your approximation algorithm private: A black-box differentially-private transformation for tunable approximation algorithms of functions with low sensitivity J Blocki, E Grigorescu, T Mukherjee, S Zhou arXiv preprint arXiv:2210.03831, 2022 | 22 | 2022 |
| Privately estimating graph parameters in sublinear time J Blocki, E Grigorescu, T Mukherjee arXiv preprint arXiv:2202.05776, 2022 | 16 | 2022 |
| Homomorphic proximity computation in geosocial networks P Hu, T Mukherjee, A Valliappan, S Radziszowski 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS …, 2016 | 14 | 2016 |
| Estimating gaps in martingales and applications to coin-tossing: Constructions and hardness HA Khorasgani, HK Maji, T Mukherjee Theory of Cryptography Conference, 333-355, 2019 | 12 | 2019 |
| Differentially Private -Heavy Hitters in the Sliding Window Model J Blocki, S Lee, T Mukherjee, S Zhou arXiv preprint arXiv:2302.11081, 2023 | 11 | 2023 |
| Differentially Private Sublinear-Time Clustering J Blocki, E Grigorescu, T Mukherjee ISIT, 2021 | 9 | 2021 |
| -free Partition and Cover Numbers and Application AR Block, S Brânzei, HK Maji, H Mehta, T Mukherjee, HH Nguyen Cryptology ePrint Archive, 2020 | 6 | 2020 |
| Cyclotomic polynomials in Ring-LWE homomorphic encryption schemes T Mukherjee Rochester Institute of Technology, 2016 | 6 | 2016 |
| The power of graph sparsification in the continual release model A Epasto, QC Liu, T Mukherjee, F Zhou arXiv preprint arXiv:2407.17619, 2024 | 4 | 2024 |
| Evaluation of homomorphic primitives for computations on encrypted data for CPS systems P Hu, T Mukherjee, A Valliappan, S Radziszowski 2016 Smart City Security and Privacy Workshop (SCSP-W), 1-5, 2016 | 4 | 2016 |
| Equitable differential privacy V Kaul, T Mukherjee Frontiers in big Data 7, 1420344, 2024 | 2 | 2024 |
| Differentially Private Space-Efficient Algorithms for Counting Distinct Elements in the Turnstile Model R Cummings, A Epasto, J Mao, T Mukherjee, T Ou, P Zhong arXiv preprint arXiv:2505.23682, 2025 | 1 | 2025 |
| Sublinear Space Graph Algorithms in the Continual Release Model A Epasto, QC Liu, T Mukherjee, F Zhou arXiv preprint arXiv:2407.17619, 2024 | 1 | 2024 |
| On computing discretized Ricci curvatures of graphs: Local algorithms and (localized) fine-grained reductions B DasGupta, E Grigorescu, T Mukherjee Theoretical Computer Science 975, 114127, 2023 | 1 | 2023 |
| Differentially Private Clustering in Data Streams A Epasto, T Mukherjee, P Zhong arXiv preprint arXiv:2307.07449, 2023 | 1 | 2023 |
| Response to the RFI on Executive Branch Agency Handling of Commercially Available Information Containing Personally Identifiable Information R Cummings, S Hod, P Jain, G Kaptchuk, T Mukherjee, P Nanayakkara, ... | | 2024 |
| Differential privacy and Sublinear time are incompatible sometimes J Blocki, H Fichtenberger, E Grigorescu, T Mukherjee arXiv preprint arXiv:2407.07262, 2024 | | 2024 |
| Differentially Private Sublinear Algorithms T Mukherjee Purdue University, 2023 | | 2023 |
| On computing Ollivier-Ricci curvatures of graphs: fine-grained reductions and local algorithms B DasGupta, E Grigorescu, T Mukherjee CoRR, 2022 | | 2022 |