Thakurta, Abhradeep Guha

29 publications

NeurIPS 2025 InvisibleInk: High-Utility and Low-Cost Text Generation with Differential Privacy Vishnu Vinod, Krishna Pillutla, Abhradeep Guha Thakurta

ICLR 2025 Near-Exact Privacy Amplification for Matrix Mechanisms Christopher A. Choquette-Choo, Arun Ganesh, Saminul Haque, Thomas Steinke, Abhradeep Guha Thakurta

ALT 2025 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

TMLR 2025 Preserving Expert-Level Privacy in Offline Reinforcement Learning Navodita Sharma, Vishnu Vinod, Abhradeep Guha Thakurta, Alekh Agarwal, Borja Balle, Christoph Dann, Aravindan Raghuveer

ICLR 2025 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

ICLR 2024 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

ICLR 2024 Privacy Amplification for Matrix Mechanisms Christopher A. Choquette-Choo, Arun Ganesh, Thomas Steinke, Abhradeep Guha Thakurta

NeurIPS 2023 (Amplified) Banded Matrix Factorization: A Unified Approach to Private Training Christopher A. Choquette-Choo, Arun Ganesh, Ryan McKenna, H. Brendan McMahan, John Rush, Abhradeep Guha Thakurta, Zheng Xu

NeurIPSW 2023 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

TMLR 2023 Differentially Private Image Classification from Features Harsh Mehta, Walid Krichene, Abhradeep Guha Thakurta, Alexey Kurakin, Ashok Cutkosky

NeurIPS 2023 Faster Differentially Private Convex Optimization via Second-Order Methods Arun Ganesh, Mahdi Haghifam, Thomas Steinke, Abhradeep Guha Thakurta

JAIR 2023 How to DP-Fy ML: A Practical Guide to Machine Learning with Differential Privacy Natalia Ponomareva, Hussein Hazimeh, Alex Kurakin, Zheng Xu, Carson Denison, H. Brendan McMahan, Sergei Vassilvitskii, Steve Chien, Abhradeep Guha Thakurta

ICLR 2023 Measuring Forgetting of Memorized Training Examples Matthew Jagielski, Om Thakkar, Florian Tramer, Daphne Ippolito, Katherine Lee, Nicholas Carlini, Eric Wallace, Shuang Song, Abhradeep Guha Thakurta, Nicolas Papernot, Chiyuan Zhang

NeurIPS 2023 Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks Daogao Liu, Arun Ganesh, Sewoong Oh, Abhradeep Guha Thakurta

TMLR 2023 Towards Large Scale Transfer Learning for Differentially Private Image Classification Harsh Mehta, Abhradeep Guha Thakurta, Alexey Kurakin, Ashok Cutkosky

NeurIPS 2023 Training Private Models That Know What They Don’t Know Stephan Rabanser, Anvith Thudi, Abhradeep Guha Thakurta, Krishnamurthy Dvijotham, Nicolas Papernot

NeurIPS 2022 Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams Sergey Denisov, H. Brendan McMahan, John Rush, Adam Smith, Abhradeep Guha Thakurta

ICLRW 2022 Node-Level Differentially Private Graph Neural Networks Ameya Daigavane, Gagan Madan, Aditya Sinha, Abhradeep Guha Thakurta, Gaurav Aggarwal, Prateek Jain

NeurIPS 2022 When Does Differentially Private Learning Not Suffer in High Dimensions? Xuechen Li, Daogao Liu, Tatsunori B Hashimoto, Huseyin A. Inan, Janardhan Kulkarni, Yin-Tat Lee, Abhradeep Guha Thakurta

NeurIPS 2021 A Separation Result Between Data-Oblivious and Data-Aware Poisoning Attacks Samuel Deng, Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Abhradeep Guha Thakurta

NeurIPS 2021 Differentially Private Model Personalization Prateek Jain, John Rush, Adam Smith, Shuang Song, Abhradeep Guha Thakurta

NeurIPS 2020 Privacy Amplification via Random Check-Ins Borja Balle, Peter Kairouz, Brendan McMahan, Om Thakkar, Abhradeep Guha Thakurta

NeurIPS 2020 The Flajolet-Martin Sketch Itself Preserves Differential Privacy: Private Counting with Minimal Space Adam Smith, Shuang Song, Abhradeep Guha Thakurta

NeurIPS 2019 Private Stochastic Convex Optimization with Optimal Rates Raef Bassily, Vitaly Feldman, Kunal Talwar, Abhradeep Guha Thakurta

NeurIPS 2018 Model-Agnostic Private Learning Raef Bassily, Om Thakkar, Abhradeep Guha Thakurta

NeurIPS 2017 Practical Locally Private Heavy Hitters Raef Bassily, Kobbi Nissim, Uri Stemmer, Abhradeep Guha Thakurta

NeurIPS 2015 Nearly Optimal Private LASSO Kunal Talwar, Abhradeep Guha Thakurta, Li Zhang

ICML 2014 (Near) Dimension Independent Risk Bounds for Differentially Private Learning Prateek Jain, Abhradeep Guha Thakurta

NeurIPS 2013 (Nearly) Optimal Algorithms for Private Online Learning in Full-Information and Bandit Settings Abhradeep Guha Thakurta, Adam Smith