Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM

30 May 2017

Papers citing "Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM"

41 / 41 papers shown

Title
Clustering and Median Aggregation Improve Differentially Private Inference Kareem Amin Salman Avestimehr Sara Babakniya Alex Bie Weiwei Kong Natalia Ponomareva Umar Syed 105 1 0 05 Jun 2025
Private Lossless Multiple Release Joel Daniel Andersson Lukas Retschmeier Boel Nelson Rasmus Pagh 26 0 0 28 May 2025
But Can You Use It? Design Recommendations for Differentially Private Interactive Systems Liudas Panavas Joshua Snoke Erika Tyagi C. Bowen Aaron R. Williams 122 0 0 16 Dec 2024
Meeting Utility Constraints in Differential Privacy: A Privacy-Boosting Approach Wanrong Zhang Bo Jiang Donghang Lu Jian Du Sagar Sharma Qiang Yan 124 0 0 13 Dec 2024
Advances in Differential Privacy and Differentially Private Machine Learning Saswat Das Subhankar Mishra 75 4 0 06 Apr 2024
Private Count Release: A Simple and Scalable Approach for Private Data Analytics Ryan Rogers 83 0 0 08 Mar 2024
On the Privacy of Selection Mechanisms with Gaussian Noise Jonathan Lebensold Doina Precup Borja Balle 69 0 0 09 Feb 2024
Randomized Response with Gradual Release of Privacy Budget Mingen Pan 76 1 0 25 Jan 2024
Within-Dataset Disclosure Risk for Differential Privacy Zhiru Zhu Raul Castro Fernandez 76 0 0 19 Oct 2023
Striking a Balance: An Optimal Mechanism Design for Heterogenous Differentially Private Data Acquisition for Logistic Regression Ameya Anjarlekar Rasoul Etesami R. Srikant 120 3 0 19 Sep 2023
Adaptive Privacy Composition for Accuracy-first Mechanisms Ryan M. Rogers G. Samorodnitsky Zhiwei Steven Wu Aaditya Ramdas 75 2 0 24 Jun 2023
Privacy Guarantees for Personal Mobility Data in Humanitarian Response Nitin Kohli Emily L. Aiken J. Blumenstock 62 7 0 15 Jun 2023
Unbounded Differentially Private Quantile and Maximum Estimation D. Durfee 89 7 0 02 May 2023
Bounding Training Data Reconstruction in DP-SGD Jamie Hayes Saeed Mahloujifar Borja Balle AAML FedML 93 44 0 14 Feb 2023
Answering Private Linear Queries Adaptively using the Common Mechanism Yingtai Xiao Guanhong Wang Qiang Yan Daniel Kifer 108 7 0 30 Nov 2022
Privacy-preserving Non-negative Matrix Factorization with Outliers Swapnil Saha H. Imtiaz PICV 58 3 0 02 Nov 2022
Brownian Noise Reduction: Maximizing Privacy Subject to Accuracy Constraints Justin Whitehouse Zhiwei Steven Wu Aaditya Ramdas Ryan M. Rogers 76 10 0 15 Jun 2022
Individual Privacy Accounting for Differentially Private Stochastic Gradient Descent Da Yu Gautam Kamath Janardhan Kulkarni Tie-Yan Liu Jian Yin Huishuai Zhang 158 22 0 06 Jun 2022
Towards Practical Differential Privacy in Data Analysis: Understanding the Effect of Epsilon on Utility in Private ERM Yuzhe Li Yong Liu Yue Liu Weiping Wang Nannan Liu 30 10 0 06 Jun 2022
$Privacy accounting $\varepsilon$conomics: Improving differential privacy composition via a posteriori bounds$ Privacy accounting $\varepsilon$ conomics: Improving differential privacy composition via a posteriori bounds Valentin Hartmann Vincent Bindschaedler Alexander Bentkamp Robert West 68 1 0 06 May 2022
Fully Adaptive Composition in Differential Privacy Justin Whitehouse Aaditya Ramdas Ryan M. Rogers Zhiwei Steven Wu 100 42 0 10 Mar 2022
Privately Publishable Per-instance Privacy Rachel Redberg Yu Wang 103 18 0 03 Nov 2021
Generalization in the Face of Adaptivity: A Bayesian Perspective Moshe Shenfeld Katrina Ligett 78 4 0 20 Jun 2021
Practical Privacy Filters and Odometers with Rényi Differential Privacy and Applications to Differentially Private Deep Learning Mathias Lécuyer 90 23 0 02 Mar 2021
N-grams Bayesian Differential Privacy Osman Ramadan James Withers Douglas Orr 23 0 0 29 Jan 2021
Free Gap Estimates from the Exponential Mechanism, Sparse Vector, Noisy Max and Related Algorithms Zeyu Ding Yuxin Wang Yingtai Xiao Guanhong Wang Qiang Yan Daniel Kifer 66 8 0 02 Dec 2020
Deciding Accuracy of Differential Privacy Schemes Gilles Barthe Rohit Chadha Paul Krogmeier A. Sistla Mahesh Viswanathan 64 10 0 12 Nov 2020
The Sparse Vector Technique, Revisited Haim Kaplan Yishay Mansour Uri Stemmer 80 17 0 02 Oct 2020
Individual Privacy Accounting via a Renyi Filter Vitaly Feldman Tijana Zrnic 150 90 0 25 Aug 2020
Differential Privacy at Risk: Bridging Randomness and Privacy Budget Ashish Dandekar D. Basu S. Bressan 111 8 0 02 Mar 2020
Improved Differentially Private Decentralized Source Separation for fMRI Data H. Imtiaz Jafar Mohammadi Rogers F. Silva Bradley T. Baker Sergey Plis Anand D. Sarwate Vince D. Calhoun OOD 45 5 0 28 Oct 2019
Synthetic Data for Deep Learning Sergey I. Nikolenko 153 358 0 25 Sep 2019
A Programming Framework for Differential Privacy with Accuracy Concentration Bounds Elisabet Lobo Vesga Alejandro Russo Marco Gaboardi 58 29 0 10 Sep 2019
Automatic Discovery of Privacy-Utility Pareto Fronts Brendan Avent Javier I. González Tom Diethe Andrei Paleyes Borja Balle FedML 81 28 0 26 May 2019
Free Gap Information from the Differentially Private Sparse Vector and Noisy Max Mechanisms Zeyu Ding Yuxin Wang Qiang Yan Daniel Kifer 92 14 0 29 Apr 2019
Distributed Differentially Private Computation of Functions with Correlated Noise H. Imtiaz Jafar Mohammadi Anand D. Sarwate OOD 46 10 0 22 Apr 2019
Private Selection from Private Candidates Jingcheng Liu Kunal Talwar 74 134 0 19 Nov 2018
Decentralized Differentially Private Without-Replacement Stochastic Gradient Descent Richeng Jin Xiaofan He H. Dai FedML 71 2 0 08 Sep 2018
Private PAC learning implies finite Littlestone dimension N. Alon Roi Livni M. Malliaris Shay Moran 80 111 0 04 Jun 2018
Differentially Private Confidence Intervals for Empirical Risk Minimization Yue Wang Daniel Kifer Jaewoo Lee 72 35 0 11 Apr 2018
Local Differential Privacy for Evolving Data Matthew Joseph Aaron Roth Jonathan R. Ullman Bo Waggoner 106 87 0 20 Feb 2018