Differentially Private SQL with Bounded User Contribution

4 September 2019

Daniel Simmons-Marengo

Bryant Gipson

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Papers citing "Differentially Private SQL with Bounded User Contribution"

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Title
Click Without Compromise: Online Advertising Measurement via Per User Differential Privacy Yingtai Xiao Jian Du Shikun Zhang Qiang Yan Danfeng Zhang Daniel Kifer Daniel Kifer 49 2 0 04 Jun 2024
ATTAXONOMY: Unpacking Differential Privacy Guarantees Against Practical Adversaries Rachel Cummings Shlomi Hod Jayshree Sarathy Marika Swanberg 44 2 0 02 May 2024
Private Count Release: A Simple and Scalable Approach for Private Data Analytics Ryan Rogers 31 0 0 08 Mar 2024
Membership Inference Attacks and Privacy in Topic Modeling Nico Manzonelli Wanrong Zhang Salil P. Vadhan 37 1 0 07 Mar 2024
Some Constructions of Private, Efficient, and Optimal $K$ -Norm and Elliptic Gaussian Noise Matthew Joseph Alexander Yu 21 2 0 27 Sep 2023
Publishing Wikipedia usage data with strong privacy guarantees Temilola Adeleye Skye Berghel Damien Desfontaines Michael Hay Isaac Johnson ... Thomas Magerlein G. Modena David Pujol Daniel Simmons-Marengo H. Triedman 23 7 0 30 Aug 2023
Differentially Private Aggregation via Imperfect Shuffling Badih Ghazi Ravi Kumar Pasin Manurangsi Jelani Nelson Samson Zhou FedML 30 1 0 28 Aug 2023
Differentially Private Heavy Hitter Detection using Federated Analytics Karan N. Chadha Junye Chen John C. Duchi Vitaly Feldman H. Hashemi O. Javidbakht Audra McMillan Kunal Talwar FedML 19 7 0 21 Jul 2023
An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions Yingtai Xiao Guanlin He Danfeng Zhang Daniel Kifer 29 4 0 14 May 2023
Multi-Task Differential Privacy Under Distribution Skew Walid Krichene Prateek Jain Shuang Song Mukund Sundararajan Abhradeep Thakurta Li Zhang FedML 35 3 0 15 Feb 2023
DP-SIPS: A simpler, more scalable mechanism for differentially private partition selection Marika Swanberg Damien Desfontaines Samuel Haney 36 6 0 05 Jan 2023
Answering Private Linear Queries Adaptively using the Common Mechanism Yingtai Xiao Guanhong Wang Danfeng Zhang Daniel Kifer 60 7 0 30 Nov 2022
Lessons Learned: Surveying the Practicality of Differential Privacy in the Industry Gonzalo Munilla Garrido Xiaoyuan Liu Florian Matthes D. Song 22 24 0 07 Nov 2022
Towards Standardized Mobility Reports with User-Level Privacy Alexandra Kapp Saskia Nuñez von Voigt Helena Mihaljević Florian Tschorsch 34 2 0 19 Sep 2022
Private Quantiles Estimation in the Presence of Atoms Clément Lalanne C. Gastaud Nicolas Grislain Aurélien Garivier Rémi Gribonval 10 7 0 15 Feb 2022
Exact Privacy Analysis of the Gaussian Sparse Histogram Mechanism Brian Karrer Daniel Kifer Arjun S. Wilkins Danfeng Zhang 18 4 0 02 Feb 2022
Plume: Differential Privacy at Scale Kareem Amin Jennifer Gillenwater Matthew Joseph Alex Kulesza Sergei Vassilvitskii 17 9 0 27 Jan 2022
DP-XGBoost: Private Machine Learning at Scale Cheng Cheng Wei Dai 14 8 0 25 Oct 2021
Tight and Robust Private Mean Estimation with Few Users Cheng-Han Chiang Vahab Mirrokni Hung-yi Lee FedML 31 28 0 22 Oct 2021
User-Level Private Learning via Correlated Sampling Badih Ghazi Ravi Kumar Pasin Manurangsi FedML 37 13 0 21 Oct 2021
Google COVID-19 Vaccination Search Insights: Anonymization Process Description S. Bavadekar Adam Boulanger John Davis Damien Desfontaines E. Gabrilovich ... Karen Smith Charlotte Stanton Mimi Sun Mark Young G. Wellenius 23 15 0 02 Jul 2021
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation Gavin Brown Marco Gaboardi Adam D. Smith Jonathan R. Ullman Lydia Zakynthinou FedML 28 48 0 24 Jun 2021
Private Counting from Anonymous Messages: Near-Optimal Accuracy with Vanishing Communication Overhead Badih Ghazi Ravi Kumar Pasin Manurangsi Rasmus Pagh FedML 26 48 0 08 Jun 2021
DDUO: General-Purpose Dynamic Analysis for Differential Privacy Chiké Abuah Alex Silence David Darais Joseph P. Near 43 12 0 16 Mar 2021
Distributed Differentially Private Mutual Information Ranking and Its Applications Ankit Srivastava Samira Pouyanfar Joshua Allen Ken Johnston Qida Ma 13 0 0 22 Sep 2020
Private Reinforcement Learning with PAC and Regret Guarantees G. Vietri Borja Balle A. Krishnamurthy Zhiwei Steven Wu 13 59 0 18 Sep 2020
Google COVID-19 Search Trends Symptoms Dataset: Anonymization Process Description (version 1.0) S. Bavadekar Andrew M. Dai John Davis Damien Desfontaines Ilya Eckstein ... Charlotte Stanton Jacob Stimes Mimi Sun G. Wellenius M. Zoghi 11 34 0 02 Sep 2020
Learning discrete distributions: user vs item-level privacy Yuhan Liu A. Suresh Felix X. Yu Sanjiv Kumar Michael Riley FedML 25 52 0 27 Jul 2020
Differentially private partition selection Damien Desfontaines James R. Voss Bryant Gipson Chinmoy Mandayam FedML 22 15 0 05 Jun 2020
Differentially Private Set Union Sivakanth Gopi P. Gulhane Janardhan Kulkarni J. Shen Milad Shokouhi Sergey Yekhanin FedML 19 32 0 22 Feb 2020
LinkedIn's Audience Engagements API: A Privacy Preserving Data Analytics System at Scale Ryan M. Rogers S. Subramaniam Sean Peng D. Durfee Seunghyun Lee Santosh Kumar Kancha Shraddha Sahay P. Ahammad 19 77 0 14 Feb 2020
SoK: Differential Privacies Damien Desfontaines Balázs Pejó 31 121 0 04 Jun 2019
Chorus: a Programming Framework for Building Scalable Differential Privacy Mechanisms Noah M. Johnson Joseph P. Near J. M. Hellerstein D. Song 14 24 0 20 Sep 2018
Differential Privacy: An Estimation Theory-Based Method for Choosing Epsilon M. Naldi G. DÁcquisto 38 40 0 04 Oct 2015
The Optimal Mechanism in Differential Privacy: Multidimensional Setting Quan Geng Pramod Viswanath 84 122 0 02 Dec 2013