Jonathan Ullman
North Eastern University
H-index: 39
Asia-Thailand
Top articles of Jonathan Ullman
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
How to Make the Gradients Small Privately: Improved Rates for Differentially Private Non-Convex Optimization | arXiv preprint arXiv:2402.11173 | Andrew Lowy Jonathan Ullman Stephen J Wright | 2024/2/17 |
Differentially Private Medians and Interior Points for Non-Pathological Data | arXiv preprint arXiv:2305.13440 | Maryam Aliakbarpour Rose Silver Thomas Steinke Jonathan Ullman | 2023/5/22 |
Smooth lower bounds for differentially private algorithms via padding-and-permuting fingerprinting codes | arXiv preprint arXiv:2307.07604 | Naty Peter Eliad Tsfadia Jonathan Ullman | 2023/7/14 |
SNAP: Efficient extraction of private properties with poisoning | Harsh Chaudhari John Abascal Alina Oprea Matthew Jagielski Florian Tramèr | 2023/5/21 | |
Multitask Learning via Shared Features: Algorithms and Hardness | Konstantina Bairaktari Guy Blanc Li-Yang Tan Jonathan Ullman Lydia Zakynthinou | 2023/7/12 | |
A bias-variance-privacy trilemma for statistical estimation | arXiv preprint arXiv:2301.13334 | Gautam Kamath Argyris Mouzakis Matthew Regehr Vikrant Singhal Thomas Steinke | 2023/1/30 |
Investigating the Visual Utility of Differentially Private Scatterplots | IEEE Transactions on Visualization and Computer Graphics | Liudas Panavas Tarik Crnovrsanin Jane Lydia Adams Jonathan Ullman Ali Sargavad | 2023/7/5 |
How to combine membership-inference attacks on multiple updated machine learning models | Proceedings on Privacy Enhancing Technologies | Matthew Jagielski Stanley Wu Alina Oprea Jonathan Ullman Roxana Geambasu | 2023 |
From robustness to privacy and back | Hilal Asi Jonathan Ullman Lydia Zakynthinou | 2023/7/3 | |
Metalearning with Very Few Samples Per Task | arXiv preprint arXiv:2312.13978 | Maryam Aliakbarpour Konstantina Bairaktari Gavin Brown Adam Smith Jonathan Ullman | 2023/12/21 |
Tmi! finetuned models leak private information from their pretraining data | arXiv preprint arXiv:2306.01181 | John Abascal Stanley Wu Alina Oprea Jonathan Ullman | 2023/6/1 |
Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning | arXiv preprint arXiv:2310.03838 | Harsh Chaudhari Giorgio Severi Alina Oprea Jonathan Ullman | 2023/10/5 |
A private and computationally-efficient estimator for unbounded gaussians | Gautam Kamath Argyris Mouzakis Vikrant Singhal Thomas Steinke Jonathan Ullman | 2022/6/28 | |
Covariance-aware private mean estimation without private covariance estimation | Advances in neural information processing systems | Gavin Brown Marco Gaboardi Adam Smith Jonathan Ullman Lydia Zakynthinou | 2021/12/6 |
Leveraging public data for practical private query release | Terrance Liu Giuseppe Vietri Thomas Steinke Jonathan Ullman Steven Wu | 2021/7/1 | |
The limits of pan privacy and shuffle privacy for learning and estimation | Albert Cheu Jonathan Ullman | 2021/6/15 | |
Manipulation attacks in local differential privacy | Albert Cheu Adam Smith Jonathan Ullman | 2021/5/24 | |
Private identity testing for high-dimensional distributions | Advances in neural information processing systems | Clément L Canonne Gautam Kamath Audra McMillan Jonathan Ullman Lydia Zakynthinou | 2020 |
Private mean estimation of heavy-tailed distributions | Gautam Kamath Vikrant Singhal Jonathan Ullman | 2020/7/15 | |
Auditing differentially private machine learning: How private is private sgd? | Advances in Neural Information Processing Systems | Matthew Jagielski Jonathan Ullman Alina Oprea | 2020 |
Co-Authors
