Abhradeep Guha Thakurta
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
4
Active years
2014–2025
Best venue rank
A*
Where they publish
Papers
13 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 |
| 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 |
| 2024 | ICML | Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation. | Gavin Brown, Krishnamurthy Dj Dvijotham, Georgina Evans, Daogao Liu, Adam Smith, Abhradeep Guha Thakurta |
| 2024 | ICML | Improved Differentially Private and Lazy Online Convex Optimization: Lower Regret without Smoothness Requirements. | Naman Agarwal, Satyen Kale, Karan Singh, Abhradeep Guha Thakurta |
| 2023 | ICLR | Measuring Forgetting of Memorized Training Examples. | Matthew Jagielski, Om Thakkar, Florian Tramr, Daphne Ippolito, Katherine Lee, Nicholas Carlini, Eric Wallace, Shuang Song, Abhradeep Guha Thakurta, Nicolas Papernot, Chiyuan Zhang |
| 2023 | ICML | Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning. | Christopher A. Choquette-Choo, Hugh Brendan McMahan, J. Keith Rush, Abhradeep Guha Thakurta |
| 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 |
| 2023 | ICML | Multi-Task Differential Privacy Under Distribution Skew. | Walid Krichene, Prateek Jain, Shuang Song, Mukund Sundararajan, Abhradeep Guha Thakurta, Li Zhang |
| 2019 | WSDM | Privacy-preserving Data Mining in Industry. | Krishnaram Kenthapadi, Ilya Mironov, Abhradeep Guha Thakurta |
| 2014 | ICML | (Near) Dimension Independent Risk Bounds for Differentially Private Learning. | Prateek Jain, Abhradeep Guha Thakurta |