Smooth Lower Bounds for Differentially Private Algorithms via Padding-and-Permuting Fingerprinting Codes

14 July 2023

Papers citing "Smooth Lower Bounds for Differentially Private Algorithms via Padding-and-Permuting Fingerprinting Codes"

24 / 24 papers shown

Title
Better and Simpler Lower Bounds for Differentially Private Statistical Estimation Shyam Narayanan FedML 42 10 0 10 Oct 2023
Score Attack: A Lower Bound Technique for Optimal Differentially Private Learning T. Tony Cai Yichen Wang Linjun Zhang 56 16 0 13 Mar 2023
Differentially Private Sampling from Distributions Sofya Raskhodnikova Satchit Sivakumar Adam D. Smith Marika Swanberg 37 11 0 15 Nov 2022
New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma Gautam Kamath Argyris Mouzakis Vikrant Singhal FedML 56 26 0 17 May 2022
Differentially-Private Clustering of Easy Instances E. Cohen Haim Kaplan Yishay Mansour Uri Stemmer Eliad Tsfadia 35 23 0 29 Dec 2021
The Price of Differential Privacy under Continual Observation Palak Jain Sofya Raskhodnikova Satchit Sivakumar Adam D. Smith 53 52 0 01 Dec 2021
Private and polynomial time algorithms for learning Gaussians and beyond H. Ashtiani Christopher Liaw 68 46 0 22 Nov 2021
A Private and Computationally-Efficient Estimator for Unbounded Gaussians Gautam Kamath Argyris Mouzakis Vikrant Singhal Thomas Steinke Jonathan R. Ullman 60 40 0 08 Nov 2021
Tight and Robust Private Mean Estimation with Few Users Cheng-Han Chiang Vahab Mirrokni Hung-yi Lee FedML 41 29 0 22 Oct 2021
FriendlyCore: Practical Differentially Private Aggregation Eliad Tsfadia E. Cohen Haim Kaplan Yishay Mansour Uri Stemmer 29 34 0 19 Oct 2021
Privately Learning Subspaces Vikrant Singhal Thomas Steinke 42 20 0 28 May 2021
Differentially Private Clustering: Tight Approximation Ratios Badih Ghazi Ravi Kumar Pasin Manurangsi 30 51 0 18 Aug 2020
Private Query Release Assisted by Public Data Raef Bassily Albert Cheu Shay Moran Aleksandar Nikolov Jonathan R. Ullman Zhiwei Steven Wu 96 48 0 23 Apr 2020
The Cost of Privacy: Optimal Rates of Convergence for Parameter Estimation with Differential Privacy T. Tony Cai Yichen Wang Linjun Zhang 51 165 0 12 Feb 2019
Privately Learning High-Dimensional Distributions Gautam Kamath Jerry Li Vikrant Singhal Jonathan R. Ullman FedML 81 151 0 01 May 2018
Finite Sample Differentially Private Confidence Intervals Vishesh Karwa Salil P. Vadhan 37 193 0 10 Nov 2017
Tight Lower Bounds for Differentially Private Selection Thomas Steinke Jonathan R. Ullman 55 73 0 10 Apr 2017
Locating a Small Cluster Privately Kobbi Nissim Uri Stemmer Salil P. Vadhan 14 53 0 19 Apr 2016
Make Up Your Mind: The Price of Online Queries in Differential Privacy Mark Bun Thomas Steinke Jonathan R. Ullman 35 58 0 15 Apr 2016
Between Pure and Approximate Differential Privacy Thomas Steinke Jonathan R. Ullman FedML 42 159 0 24 Jan 2015
Interactive Fingerprinting Codes and the Hardness of Preventing False Discovery Thomas Steinke Jonathan R. Ullman 49 108 0 05 Oct 2014
Preventing False Discovery in Interactive Data Analysis is Hard Moritz Hardt Jonathan R. Ullman 42 125 0 06 Aug 2014
Fingerprinting Codes and the Price of Approximate Differential Privacy Mark Bun Jonathan R. Ullman Salil P. Vadhan FedML 34 211 0 13 Nov 2013
Differentially Private Combinatorial Optimization Anupam Gupta Katrina Ligett Frank McSherry Aaron Roth Kunal Talwar 53 229 0 26 Mar 2009