Score Attack: A Lower Bound Technique for Optimal Differentially Private
Learning

Score Attack: A Lower Bound Technique for Optimal Differentially Private Learning

13 March 2023

T. Tony Cai

Papers citing "Score Attack: A Lower Bound Technique for Optimal Differentially Private Learning"

15 / 15 papers shown

Title
A Statistical Hypothesis Testing Framework for Data Misappropriation Detection in Large Language Models Yinpeng Cai Lexin Li Linjun Zhang 78 0 0 05 Jan 2025
Testing Credibility of Public and Private Surveys through the Lens of Regression Debabrota Basu Sourav Chakraborty Debarshi Chanda Buddha Dev Das Arijit Ghosh Arnab Ray 23 0 0 07 Oct 2024
Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints T. T. Cai Abhinav Chakraborty Lasse Vuursteen FedML 34 3 0 10 Jun 2024
Federated Nonparametric Hypothesis Testing with Differential Privacy Constraints: Optimal Rates and Adaptive Tests T. T. Cai Abhinav Chakraborty Lasse Vuursteen FedML 30 1 0 10 Jun 2024
Lower Bounds for Private Estimation of Gaussian Covariance Matrices under All Reasonable Parameter Regimes V. S. Portella Nick Harvey 16 3 0 26 Apr 2024
Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares Gavin Brown J. Hayase Samuel B. Hopkins Weihao Kong Xiyang Liu Sewoong Oh Juan C. Perdomo Adam D. Smith 18 1 0 23 Apr 2024
Near-Optimal differentially private low-rank trace regression with guaranteed private initialization Mengyue Zha 41 0 0 24 Mar 2024
Differentially Private Sliced Inverse Regression: Minimax Optimality and Algorithm Xintao Xia Linjun Zhang Zhanrui Cai 28 0 0 16 Jan 2024
Differentially Private Reward Estimation with Preference Feedback Sayak Ray Chowdhury Xingyu Zhou Nagarajan Natarajan 26 4 0 30 Oct 2023
On the Computational Complexity of Private High-dimensional Model Selection Saptarshi Roy Zehua Wang Ambuj Tewari 14 0 0 11 Oct 2023
Better and Simpler Lower Bounds for Differentially Private Statistical Estimation Shyam Narayanan FedML 6 9 0 10 Oct 2023
Smooth Lower Bounds for Differentially Private Algorithms via Padding-and-Permuting Fingerprinting Codes Naty Peter Eliad Tsfadia Jonathan R. Ullman 21 4 0 14 Jul 2023
Safeguarding Data in Multimodal AI: A Differentially Private Approach to CLIP Training Alyssa Huang Peihan Liu Ryumei Nakada Linjun Zhang Wanrong Zhang VLM 37 5 0 13 Jun 2023
New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma Gautam Kamath Argyris Mouzakis Vikrant Singhal FedML 24 26 0 17 May 2022
Privately Learning High-Dimensional Distributions Gautam Kamath Jerry Li Vikrant Singhal Jonathan R. Ullman FedML 62 147 0 01 May 2018