Papers citing 'Geographic Spines in the 2020 Census Disclosure Avoidance System'

Title
Adjusting the Output of Decision Transformer with Action Gradient Rui Lin Yiwen Zhang Zhicheng Peng Minghao Lyu OffRL 64 1 0 06 Oct 2025
Query-Efficient Locally Private Hypothesis Selection via the Scheffe Graph Gautam Kamath Alireza F. Pour Matthew Regehr David P. Woodruff 68 1 0 19 Sep 2025
Protecting participants or population? Comparison of k-anonymous Origin-Destination matrices Pietro Armenante Kai Huang Nikhil Jha L. Vassio 74 0 0 16 Sep 2025
Practitioners' Perspectives on a Differential Privacy Deployment Registry Priyanka Nanayakkara Elena Ghazi Salil Vadhan 99 1 0 16 Sep 2025
Unifying Re-Identification, Attribute Inference, and Data Reconstruction Risks in Differential Privacy B. Kulynych Juan Felipe Gomez G. Kaissis Jamie Hayes Borja Balle Flavio du Pin Calmon Jean Louis Raisaro 176 1 0 09 Jul 2025
Practical and Accurate Local Edge Differentially Private Graph AlgorithmsProceedings of the VLDB Endowment (PVLDB), 2025 Pranay Mundra Charalampos Papamanthou Julian Shun Quanquan C. Liu 117 0 0 25 Jun 2025
The Hitchhiker's Guide to Efficient, End-to-End, and Tight DP Auditing Meenatchi Sundaram Muthu Selva Annamalai Borja Balle Jamie Hayes Georgios Kaissis Emiliano De Cristofaro 268 0 0 20 Jun 2025
Beyond Laplace and Gaussian: Exploring the Generalized Gaussian Mechanism for Private Machine Learning Roy Rinberg Ilia Shumailov Vikrant Singhal Rachel Cummings Nicolas Papernot 142 0 0 14 Jun 2025
Beyond Per-Querier Budgets: Rigorous and Resilient Global Privacy Enforcement for the W3C Attribution API Pierre Tholoniat Alison Caulfield Giorgio Cavicchioli Mark Chen Nikos Goutzoulias Benjamin Case Asaf Cidon Roxana Geambasu Mathias Lécuyer Martin Thomson 213 0 0 05 Jun 2025
A Refreshment Stirred, Not Shaken (III): Can Swapping Be Differentially Private? J. Bailie Ruobin Gong Xiangxu Meng 248 1 0 21 Apr 2025
Gaussian DP for Reporting Differential Privacy Guarantees in Machine Learning Juan Felipe Gomez B. Kulynych G. Kaissis Jamie Hayes Jamie Hayes Borja Balle Antti Honkela 328 0 0 13 Mar 2025
Multi-Agent System for AI-Assisted Extraction of Narrative Arcs in TV SeriesInternational Conference on Agents and Artificial Intelligence (ICAART), 2025 Roberto Balestri Guglielmo Pescatore 141 5 0 04 Mar 2025
Fingerprinting Codes Meet Geometry: Improved Lower Bounds for Private Query Release and Adaptive Data AnalysisSymposium on the Theory of Computing (STOC), 2024 Xin Lyu Kunal Talwar 198 1 0 18 Dec 2024
But Can You Use It? Design Recommendations for Differentially Private Interactive Systems Liudas Panavas Joshua Snoke Erika Tyagi C. Bowen Aaron R. Williams 212 1 0 16 Dec 2024
Dimension-free Private Mean Estimation for Anisotropic DistributionsNeural Information Processing Systems (NeurIPS), 2024 Yuval Dagan Michael I. Jordan Xuelin Yang Lydia Zakynthinou Nikita Zhivotovskiy 347 2 0 01 Nov 2024
Formal Privacy Guarantees with Invariant Statistics Young Hyun Cho Jordan Awan 206 2 0 22 Oct 2024
The 2020 United States Decennial Census Is More Private Than You (Might) Think Buxin Su Weijie J. Su Chendi Wang 333 5 0 11 Oct 2024
Efficient and Private Marginal Reconstruction with Local Non-NegativityNeural Information Processing Systems (NeurIPS), 2024 Brett Mullins Miguel Fuentes Yingtai Xiao Daniel Kifer Cameron Musco Daniel Sheldon 204 2 0 01 Oct 2024
Slowly Scaling Per-Record Differential Privacy Brian Finley Anthony M Caruso Justin C Doty Ashwin Machanavajjhala Mikaela R Meyer David Pujol William Sexton Zachary Terner 283 2 0 26 Sep 2024
What to Consider When Considering Differential Privacy for PolicyPolicy Insights from the Behavioral and Brain Sciences (IFBBS), 2024 Priyanka Nanayakkara Jessica Hullman 291 3 0 18 Sep 2024
A Statistical Viewpoint on Differential Privacy: Hypothesis Testing, Representation and Blackwell's TheoremAnnual Review of Statistics and Its Application (ARSIA), 2024 Weijie J. Su 245 4 0 14 Sep 2024
Best Linear Unbiased Estimate from Privatized Contingency Tables Jordan Awan Adam Edwards Paul Bartholomew Andrew Sillers 401 0 0 06 Sep 2024
Enabling Humanitarian Applications with Targeted Differential Privacy Nitin Kohli J. Blumenstock 183 0 0 24 Aug 2024
The Complexities of Differential Privacy for Survey DataSocial Science Research Network (SSRN), 2024 Jorg Drechsler James Bailie 159 4 0 13 Aug 2024
Better Gaussian Mechanism using Correlated NoiseSIAM Symposium on Simplicity in Algorithms (SOSA), 2024 Christian Janos Lebeda 327 4 0 13 Aug 2024
Synthetic Data, Similarity-based Privacy Metrics, and Regulatory (Non-)Compliance Georgi Ganev 272 1 0 24 Jul 2024
Releasing Large-Scale Human Mobility Histograms with Differential Privacy Christopher Bian Albert Cheu Yannis Guzman Marco Gruteser Peter Kairouz Ryan McKenna Edo Roth 134 1 0 03 Jul 2024
Nearly Tight Black-Box Auditing of Differentially Private Machine LearningNeural Information Processing Systems (NeurIPS), 2024 Meenatchi Sundaram Muthu Selva Annamalai Emiliano De Cristofaro 250 18 0 23 May 2024
Differentially Private Range Queries with Correlated Input PerturbationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Prathamesh Dharangutte Jie Gao Ruobin Gong Guanyang Wang 123 0 0 10 Feb 2024
General Inferential Limits Under Differential and Pufferfish PrivacyInternational Journal of Approximate Reasoning (IJAR), 2024 J. Bailie Ruobin Gong 281 2 0 27 Jan 2024
Noisy Measurements Are Important, the Design of Census Products Is Much More Important John M. Abowd 149 3 0 20 Dec 2023
Disclosure Avoidance for the 2020 Census Demographic and Housing Characteristics File Ryan Cumings-Menon Robert Ashmead Daniel Kifer Philip Leclerc Matthew Spence Pavel I Zhuravlev John M. Abowd 179 7 0 18 Dec 2023
An In-Depth Examination of Requirements for Disclosure Risk Assessment Ron S. Jarmin John M. Abowd Robert Ashmead Ryan Cumings-Menon N. Goldschlag ... Jerome P. Reiter Rolando A. Rodríguez Ian M. Schmutte V. Velkoff Pavel I Zhuravlev 190 10 0 13 Oct 2023
A novel analysis of utility in privacy pipelines, using Kronecker products and quantitative information flowConference on Computer and Communications Security (CCS), 2023 Mário S. Alvim Natasha Fernandes Annabelle McIver Carroll Morgan Gabriel H. Nunes 187 6 0 22 Aug 2023
Samplable Anonymous Aggregation for Private Federated Data AnalysisConference on Computer and Communications Security (CCS), 2023 Kunal Talwar Shan Wang Audra McMillan Vojta Jina Vitaly Feldman ... Congzheng Song Karl Tarbe Sebastian Vogt L. Winstrom Shundong Zhou FedML 319 17 0 27 Jul 2023
Random (Un)rounding : Vulnerabilities in Discrete Attribute Disclosure in the 2021 Canadian Census Christopher West Ivy Vecna Raiyan Chowdhury 230 0 0 25 Jul 2023
Turbo: Effective Caching in Differentially-Private DatabasesSymposium on Operating Systems Principles (SOSP), 2023 Kelly Kostopoulou Pierre Tholoniat Asaf Cidon Roxana Geambasu Mathias Lécuyer 224 2 0 28 Jun 2023
Adaptive Privacy Composition for Accuracy-first MechanismsNeural Information Processing Systems (NeurIPS), 2023 Ryan M. Rogers G. Samorodnitsky Zhiwei Steven Wu Aaditya Ramdas 223 4 0 24 Jun 2023
Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential PrivacyNeural Information Processing Systems (NeurIPS), 2023 Zeki Kazan Jerome P. Reiter 176 13 0 19 Jun 2023
Differentially Private Low-dimensional Synthetic Data from High-dimensional Datasets Yiyun He Thomas Strohmer Roman Vershynin Yizhe Zhu SyDa 136 3 0 26 May 2023
ResidualPlanner+: a scalable matrix mechanism for marginals and beyond Yingtai Xiao Guanlin He Qiang Yan Zeyu Ding Danfeng Zhang Daniel Kifer 220 4 0 14 May 2023
30 Years of Synthetic DataStatistical Science (Statist. Sci.), 2023 Joerg Drechsler Anna Haensch 166 26 0 04 Apr 2023
Two Views of Constrained Differential Privacy: Belief Revision and UpdateAAAI Conference on Artificial Intelligence (AAAI), 2023 Likang Liu Keke Sun Chunlai Zhou Yuan Feng 126 5 0 01 Mar 2023
Don't Look at the Data! How Differential Privacy Reconfigures the Practices of Data ScienceInternational Conference on Human Factors in Computing Systems (CHI), 2023 Jayshree Sarathy Sophia Song Audrey Haque Tania Schlatter Salil P. Vadhan 161 29 0 23 Feb 2023
Algorithmically Effective Differentially Private Synthetic DataAnnual Conference Computational Learning Theory (COLT), 2023 Yi He Roman Vershynin Yizhe Zhu SyDa 147 11 0 11 Feb 2023
From Robustness to Privacy and BackInternational Conference on Machine Learning (ICML), 2023 Hilal Asi Jonathan R. Ullman Lydia Zakynthinou 190 37 0 03 Feb 2023
On Differentially Private Counting on TreesInternational Colloquium on Automata, Languages and Programming (ICALP), 2022 Badih Ghazi Pritish Kamath Ravi Kumar Pasin Manurangsi Kewen Wu 215 8 0 22 Dec 2022
Dissecting Distribution Inference Anshuman Suri Yifu Lu Yanjin Chen David Evans 206 17 0 15 Dec 2022
Position: Considerations for Differentially Private Learning with Large-Scale Public PretrainingInternational Conference on Machine Learning (ICML), 2022 Florian Tramèr Gautam Kamath Nicholas Carlini SILM 317 95 0 13 Dec 2022
Answering Private Linear Queries Adaptively using the Common MechanismProceedings of the VLDB Endowment (PVLDB), 2022 Yingtai Xiao Guanhong Wang Qiang Yan Daniel Kifer 248 7 0 30 Nov 2022