| 2025 | AISTATS | Almost linear time differentially private release of synthetic graphs. | Zongrui Zou, Jingcheng Liu, Jalaj Upadhyay |
| 2025 | ICLR | On the Price of Differential Privacy for Hierarchical Clustering. | Chengyuan Deng, Jie Gao, Jalaj Upadhyay, Chen Wang, Samson Zhou |
| 2025 | ICLR | Optimality of Matrix Mechanism on ℓpp-metric. | Zongrui Zou, Jingcheng Liu, Jalaj Upadhyay |
| 2025 | SODA | Improved Differentially Private Continual Observation Using Group Algebra. | Monika Henzinger, Jalaj Upadhyay |
| 2024 | ICALP | The Discrepancy of Shortest Paths. | Greg Bodwin, Chengyuan Deng, Jie Gao, Gary Hoppenworth, Jalaj Upadhyay, Chen Wang |
| 2024 | ICML | Differentially Private Decentralized Learning with Random Walks. | Edwige Cyffers, Aurlien Bellet, Jalaj Upadhyay |
| 2024 | SODA | A Unifying Framework for Differentially Private Sums under Continual Observation. | Monika Henzinger, Jalaj Upadhyay, Sarvagya Upadhyay |
| 2024 | SODA | Optimal Bounds on Private Graph Approximation. | Jingcheng Liu, Jalaj Upadhyay, Zongrui Zou |
| 2023 | COLT | Universality of Langevin Diffusion for Private Optimization, with Applications to Sampling from Rashomon Sets. | Arun Ganesh, Abhradeep Thakurta, Jalaj Upadhyay |
| 2023 | ICML | Constant Matters: Fine-grained Error Bound on Differentially Private Continual Observation. | Hendrik Fichtenberger, Monika Henzinger, Jalaj Upadhyay |
| 2023 | SODA | Almost Tight Error Bounds on Differentially Private Continual Counting. | Monika Henzinger, Jalaj Upadhyay, Sarvagya Upadhyay |
| 2023 | WADS | Differentially Private Range Query on Shortest Paths. | Chengyuan Deng, Jie Gao, Jalaj Upadhyay, Chen Wang |
| 2021 | AISTATS | Differentially Private Analysis on Graph Streams. | Jalaj Upadhyay, Sarvagya Upadhyay, Raman Arora |
| 2021 | ICML | A Framework for Private Matrix Analysis in Sliding Window Model. | Jalaj Upadhyay, Sarvagya Upadhyay |
| 2020 | FOCS | Near Optimal Linear Algebra in the Online and Sliding Window Models. | Vladimir Braverman, Petros Drineas, Cameron Musco, Christopher Musco, Jalaj Upadhyay, David P. Woodruff, Samson Zhou |
| 2019 | ICML | Sublinear Space Private Algorithms Under the Sliding Window Model. | Jalaj Upadhyay |
| 2017 | SP | Is Interaction Necessary for Distributed Private Learning? | Adam D. Smith, Abhradeep Thakurta, Jalaj Upadhyay |
| 2016 | ICALP | Block-Wise Non-Malleable Codes. | Nishanth Chandran, Vipul Goyal, Pratyay Mukherjee, Omkant Pandey, Jalaj Upadhyay |
| 2013 | ASIACRYPT | Random Projections, Graph Sparsification, and Differential Privacy. | Jalaj Upadhyay |