Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds

6 May 2016

Papers citing "Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds"

50 / 206 papers shown

Title
DPolicy: Managing Privacy Risks Across Multiple Releases with Differential Privacy Nicolas Küchler Alexander Viand Hidde Lycklama Anwar Hithnawi 26 0 0 10 May 2025
SafeTab-P: Disclosure Avoidance for the 2020 Census Detailed Demographic and Housing Characteristics File A (Detailed DHC-A) Sam Haney Skye Berghel Bayard Carlson Ryan Cumings-Menon Luke Hartman ... Simran Rajpal David Pujol William Sexton Ruchit Shrestha Daniel Simmons-Marengo 30 0 0 02 May 2025
PHSafe: Disclosure Avoidance for the 2020 Census Supplemental Demographic and Housing Characteristics File (S-DHC) William Sexton Skye Berghel Bayard Carlson Sam Haney Luke Hartman ... Amritha Pai Simran Rajpal David Pujol Ruchit Shrestha Daniel Simmons-Marengo 31 0 0 02 May 2025
An Inversion Theorem for Buffered Linear Toeplitz (BLT) Matrices and Applications to Streaming Differential Privacy H. B. McMahan Krishna Pillutla 36 1 0 30 Apr 2025
VDDP: Verifiable Distributed Differential Privacy under the Client-Server-Verifier Setup Haochen Sun Xi He 51 0 0 30 Apr 2025
Conformal-DP: Differential Privacy on Riemannian Manifolds via Conformal Transformation Peilin He Liou Tang M. Amin Rahimian James Joshi 36 0 0 29 Apr 2025
Towards Optimal Differentially Private Regret Bounds in Linear MDPs Sharan Sahu 60 0 0 12 Apr 2025
Investigating Large Language Models in Diagnosing Students' Cognitive Skills in Math Problem-solving Hyoungwook Jin Yoonsu Kim Dongyun Jung Seungju Kim Kiyoon Choi J. Son Juho Kim LRM 62 0 0 01 Apr 2025
Differential Privacy with Higher Utility by Exploiting Coordinate-wise Disparity: Laplace Mechanism Can Beat Gaussian in High Dimensions Gokularam Muthukrishnan Sheetal Kalyani 87 0 0 28 Jan 2025
Differentially Private Online Federated Learning with Correlated Noise Jiaojiao Zhang Linglingzhi Zhu Mikael Johansson FedML 49 1 0 10 Jan 2025
On the Differential Privacy and Interactivity of Privacy Sandbox Reports Badih Ghazi Charlie Harrison Arpana Hosabettu Pritish Kamath Alexander Knop ... Ethan Leeman Pasin Manurangsi Vikas Sahu Vikas Sahu Phillipp Schoppmann 94 1 0 22 Dec 2024
The 2020 United States Decennial Census Is More Private Than You (Might) Think Buxin Su Weijie J. Su Chendi Wang 39 3 0 11 Oct 2024
Fully Dynamic Graph Algorithms with Edge Differential Privacy Sofya Raskhodnikova Teresa Anna Steiner 38 1 0 26 Sep 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 45 1 0 26 Sep 2024
Gaussian Differentially Private Human Faces Under a Face Radial Curve Representation Carlos Soto M. Reimherr Aleksandra B. Slavkovic Mark Shriver CVBM 31 1 0 10 Sep 2024
NetDPSyn: Synthesizing Network Traces under Differential Privacy Danyu Sun Joann Qiongna Chen Chen Gong Tianhao Wang Zhou Li 62 1 0 08 Sep 2024
Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates Puning Zhao Xiaogang Xu Zhe Liu Chong Wang Rongfei Fan Qingming Li 48 1 0 19 Aug 2024
Private Means and the Curious Incident of the Free Lunch Jack Fitzsimons James Honaker Michael Shoemate Vikrant Singhal 49 2 0 19 Aug 2024
A Hassle-free Algorithm for Private Learning in Practice: Don't Use Tree Aggregation, Use BLTs H. B. McMahan Zheng Xu Yanxiang Zhang FedML 48 6 0 16 Aug 2024
Better Gaussian Mechanism using Correlated Noise Christian Janos Lebeda 44 2 0 13 Aug 2024
Private Online Learning via Lazy Algorithms Hilal Asi Tomer Koren Daogao Liu Kunal Talwar 109 0 0 05 Jun 2024
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 51 2 0 04 Jun 2024
Avoiding Pitfalls for Privacy Accounting of Subsampled Mechanisms under Composition C. Lebeda Matthew Regehr Gautam Kamath Thomas Steinke 53 9 0 27 May 2024
PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds Zehan Zhu Yan Huang Xin Wang Jinming Xu 49 0 0 04 May 2024
Full-Information Estimation For Hierarchical Data Ryan Cumings-Menon 20 4 0 19 Apr 2024
Budget Recycling Differential Privacy Bo Jiang Jian Du Sagar Shamar Qiang Yan 26 1 0 18 Mar 2024
Private Count Release: A Simple and Scalable Approach for Private Data Analytics Ryan Rogers 43 0 0 08 Mar 2024
A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets Ossi Raisa Antti Honkela 78 0 0 06 Feb 2024
General Inferential Limits Under Differential and Pufferfish Privacy J. Bailie Ruobin Gong 35 1 0 27 Jan 2024
Conciliating Privacy and Utility in Data Releases via Individual Differential Privacy and Microaggregation Jordi Soria-Comas David Sánchez J. Domingo-Ferrer Sergio Martínez Luis Del Vasto-Terrientes 24 0 0 21 Dec 2023
Enhancing Trade-offs in Privacy, Utility, and Computational Efficiency through MUltistage Sampling Technique (MUST) Xingyuan Zhao Fang Liu 30 0 0 20 Dec 2023
Privacy Amplification by Iteration for ADMM with (Strongly) Convex Objective Functions T.-H. Hubert Chan Hao Xie Mengshi Zhao 37 1 0 14 Dec 2023
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer Junyuan Hong Jiachen T. Wang Chenhui Zhang Zhangheng Li Bo-wen Li Zhangyang Wang 51 29 0 27 Nov 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 32 9 0 13 Oct 2023
Some Constructions of Private, Efficient, and Optimal $K$ -Norm and Elliptic Gaussian Noise Matthew Joseph Alexander Yu 29 2 0 27 Sep 2023
The Complexity of Verifying Boolean Programs as Differentially Private Mark Bun Marco Gaboardi Ludmila Glinskih 29 4 0 08 Sep 2023
Concentrated Differential Privacy for Bandits Achraf Azize D. Basu 28 4 0 01 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 31 7 0 30 Aug 2023
Private Distribution Learning with Public Data: The View from Sample Compression Shai Ben-David Alex Bie C. Canonne Gautam Kamath Vikrant Singhal 42 11 0 11 Aug 2023
Dynamic Privacy Allocation for Locally Differentially Private Federated Learning with Composite Objectives Jiaojiao Zhang Dominik Fay M. Johansson FedML 34 4 0 02 Aug 2023
Samplable Anonymous Aggregation for Private Federated Data Analysis Kunal Talwar Shan Wang Audra McMillan Vojta Jina Vitaly Feldman ... Congzheng Song Karl Tarbe Sebastian Vogt L. Winstrom Shundong Zhou FedML 38 13 0 27 Jul 2023
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection Eli Chien Wei-Ning Chen Chao Pan Pan Li Ayfer Özgür O. Milenkovic 36 12 0 12 Jul 2023
A Smooth Binary Mechanism for Efficient Private Continual Observation Joel Daniel Andersson Rasmus Pagh 30 12 0 16 Jun 2023
Privacy Loss of Noisy Stochastic Gradient Descent Might Converge Even for Non-Convex Losses S. Asoodeh Mario Díaz 20 6 0 17 May 2023
An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions Yingtai Xiao Guanlin He Danfeng Zhang Daniel Kifer 37 4 0 14 May 2023
Differentially Private Attention Computation Yeqi Gao Zhao Song Xin Yang 55 20 0 08 May 2023
Triangle Counting with Local Edge Differential Privacy T. Eden Quanquan C. Liu Sofya Raskhodnikova Adam D. Smith 75 13 0 03 May 2023
Unbounded Differentially Private Quantile and Maximum Estimation D. Durfee 51 6 0 02 May 2023
Mean Estimation Under Heterogeneous Privacy: Some Privacy Can Be Free Syomantak Chaudhuri T. Courtade 30 4 0 27 Apr 2023
On the Query Complexity of Training Data Reconstruction in Private Learning Prateeti Mukherjee Satyanarayana V. Lokam 35 0 0 29 Mar 2023