Arun Ganesh
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
8
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ALT | Near-Optimal Rates for O(1)-Smooth DP-SCO with a Single Epoch and Large Batches. | Christopher A. Choquette-Choo, Arun Ganesh, Abhradeep Guha Thakurta |
| 2025 | ICLR | Near-Exact Privacy Amplification for Matrix Mechanisms. | Christopher A. Choquette-Choo, Arun Ganesh, Saminul Haque, Thomas Steinke, Abhradeep Guha Thakurta |
| 2025 | ICLR | The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD. | Milad Nasr, Thomas Steinke, Borja Balle, Christopher A. Choquette-Choo, Arun Ganesh, Matthew Jagielski, Jamie Hayes, Abhradeep Guha Thakurta, Adam Smith, Andreas Terzis |
| 2025 | ICML | It's My Data Too: Private ML for Datasets with Multi-User Training Examples. | Arun Ganesh, Ryan McKenna, Hugh Brendan McMahan, Adam Smith, Fan Wu |
| 2024 | ICLR | Correlated Noise Provably Beats Independent Noise for Differentially Private Learning. | Christopher A. Choquette-Choo, Krishnamurthy Dj Dvijotham, Krishna Pillutla, Arun Ganesh, Thomas Steinke, Abhradeep Guha Thakurta |
| 2024 | ICLR | Privacy Amplification for Matrix Mechanisms. | Christopher A. Choquette-Choo, Arun Ganesh, Thomas Steinke, Abhradeep Guha Thakurta |
| 2023 | COLT | Universality of Langevin Diffusion for Private Optimization, with Applications to Sampling from Rashomon Sets. | Arun Ganesh, Abhradeep Thakurta, Jalaj Upadhyay |
| 2023 | ICML | Why Is Public Pretraining Necessary for Private Model Training? | Arun Ganesh, Mahdi Haghifam, Milad Nasr, Sewoong Oh, Thomas Steinke, Om Thakkar, Abhradeep Guha Thakurta, Lun Wang |
| 2022 | ICML | Public Data-Assisted Mirror Descent for Private Model Training. | Ehsan Amid, Arun Ganesh, Rajiv Mathews, Swaroop Ramaswamy, Shuang Song, Thomas Steinke, Vinith M. Suriyakumar, Om Thakkar, Abhradeep Thakurta |
| 2022 | SODA | How Compression and Approximation Affect Efficiency in String Distance Measures. | Arun Ganesh, Tomasz Kociumaka, Andrea Lincoln, Barna Saha |
| 2021 | ICALP | Universal Algorithms for Clustering Problems. | Arun Ganesh, Bruce M. Maggs, Debmalya Panigrahi |
| 2020 | ICALP | Robust Algorithms for TSP and Steiner Tree. | Arun Ganesh, Bruce M. Maggs, Debmalya Panigrahi |
| 2020 | WABI | Near-Linear Time Edit Distance for Indel Channels. | Arun Ganesh, Aaron Sy |
| 2019 | STOC | Optimal sequence length requirements for phylogenetic tree reconstruction with indels. | Arun Ganesh, Qiuyi (Richard) Zhang |
| 2017 | STOC | Online service with delay. | Yossi Azar, Arun Ganesh, Rong Ge, Debmalya Panigrahi |