Collecting Telemetry Data Privately

5 December 2017

Papers citing "Collecting Telemetry Data Privately"

50 / 346 papers shown

Title
Communication Cost Reduction for Subgraph Counting under Local Differential Privacy via Hash Functions Quentin Hillebrand Vorapong Suppakitpaisarn Tetsuo Shibuya 71 3 0 12 Dec 2023
QMGeo: Differentially Private Federated Learning via Stochastic Quantization with Mixed Truncated Geometric Distribution Zixi Wang M. C. Gursoy FedML 78 1 0 10 Dec 2023
Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity A. F. Pour Hassan Ashtiani S. Asoodeh 76 1 0 09 Dec 2023
Local Differentially Private Heavy Hitter Detection in Data Streams with Bounded Memory Xiaochen Li Weiran Liu Jian Lou Yuan Hong Lei Zhang Zhan Qin Kui Ren FedML 34 10 0 27 Nov 2023
Are Normalizing Flows the Key to Unlocking the Exponential Mechanism? Robert A. Bridges Vandy J. Tombs Christopher B. Stanley 38 1 0 15 Nov 2023
Local Differential Privacy for Smart Meter Data Sharing Yashothara Shanmugarasa M. Chamikara Hye-Young Paik S. Kanhere Liming Zhu 13 1 0 08 Nov 2023
Bounded and Unbiased Composite Differential Privacy Kai Zhang Yanjun Zhang Ruoxi Sun Pei-Wei Tsai M. Hassan Xingliang Yuan Minhui Xue Jinjun Chen 85 32 0 04 Nov 2023
Decentralised, Scalable and Privacy-Preserving Synthetic Data Generation Vishal Ramesh Rui Zhao Naman Goel 54 1 0 30 Oct 2023
Within-Dataset Disclosure Risk for Differential Privacy Zhiru Zhu Raul Castro Fernandez 63 0 0 19 Oct 2023
Near-optimal Differentially Private Client Selection in Federated Settings Syed Eqbal Alam Dhirendra Shukla Shrisha Rao FedML 50 3 0 13 Oct 2023
A Survey of Data Security: Practices from Cybersecurity and Challenges of Machine Learning Padmaksha Roy Jaganmohan Chandrasekaran Erin Lanus Laura J. Freeman Jeremy Werner 57 4 0 06 Oct 2023
User-Level Differential Privacy With Few Examples Per User Badih Ghazi Pritish Kamath Ravi Kumar Pasin Manurangsi Raghu Meka Chiyuan Zhang 89 12 0 21 Sep 2023
Striking a Balance: An Optimal Mechanism Design for Heterogenous Differentially Private Data Acquisition for Logistic Regression Ameya Anjarlekar Rasoul Etesami R. Srikant 113 3 0 19 Sep 2023
Evaluating the Impact of Local Differential Privacy on Utility Loss via Influence Functions Alycia N. Carey Minh-Hao Van Xintao Wu 44 1 0 15 Sep 2023
DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms Shweta Patwa Danyu Sun Amir Gilad Ashwin Machanavajjhala Sudeepa Roy 43 1 0 15 Sep 2023
Local Differential Privacy in Graph Neural Networks: a Reconstruction Approach Karuna Bhaila Wen Huang Yongkai Wu Xintao Wu 44 7 0 15 Sep 2023
Generalized Rainbow Differential Privacy Yuzhou Gu Ziqi Zhou Onur Gunlu Rafael G. L. DÓliveira Parastoo Sadeghi Muriel Médard Rafael F. Schaefer 103 1 0 11 Sep 2023
Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning Zebang Shen Jiayuan Ye Anmin Kang Hamed Hassani Reza Shokri FedML 90 18 0 11 Sep 2023
Differentially Private Aggregation via Imperfect Shuffling Badih Ghazi Ravi Kumar Pasin Manurangsi Jelani Nelson Samson Zhou FedML 104 1 0 28 Aug 2023
Decentralized Graph Neural Network for Privacy-Preserving Recommendation Xiaolin Zheng Zhongyu Wang Chaochao Chen Jiashu Qian Yao Yang FedML 61 8 0 15 Aug 2023
A Floating-Point Secure Implementation of the Report Noisy Max with Gap Mechanism Zeyu Ding J. Durrell Daniel Kifer Prottay Protivash Guanhong Wang Yuxin Wang Yingtai Xiao Qiang Yan 40 1 0 15 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 154 14 0 27 Jul 2023
Trajectory Data Collection with Local Differential Privacy Yuemin Zhang Qingqing Ye Rui Chen Haibo Hu Qilong Han 99 22 0 18 Jul 2023
Saibot: A Differentially Private Data Search Platform Zezhou Huang Jiaxiang Liu Daniel Alabi Raul Castro Fernandez Eugene Wu 49 7 0 01 Jul 2023
About the Cost of Central Privacy in Density Estimation Clément Lalanne Aurélien Garivier Rémi Gribonval 61 3 0 26 Jun 2023
PrivSketch: A Private Sketch-based Frequency Estimation Protocol for Data Streams Ying Li Xiaodong Lee Botao Peng Themis Palpanas Jingán Xue 50 5 0 21 Jun 2023
You Don't Need Robust Machine Learning to Manage Adversarial Attack Risks Edward Raff M. Benaroch Andrew L. Farris AAML 61 2 0 16 Jun 2023
Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization Zhigang Kan Linbo Qiao Hao Yu Liwen Peng Yifu Gao Dongsheng Li 87 21 0 14 Jun 2023
Continual Release of Differentially Private Synthetic Data from Longitudinal Data Collections Mark Bun Marco Gaboardi Marcel Neunhoeffer Wanrong Zhang SyDa 58 7 0 13 Jun 2023
Differentially private sliced inverse regression in the federated paradigm Shuai He Jiawei Zhang Xin Chen FedML 69 1 0 10 Jun 2023
Differential Privacy with Random Projections and Sign Random Projections P. Li Xiaoyun Li 75 8 0 22 May 2023
Analyzing the Shuffle Model through the Lens of Quantitative Information Flow Mireya Jurado Ramon G. Gonze Mário S. Alvim C. Palamidessi 61 1 0 22 May 2023
Minimax rate for multivariate data under componentwise local differential privacy constraints Chiara Amorino A. Gloter 128 2 0 17 May 2023
Differentially-private Continual Releases against Dynamic Databases Ming-Chuan Pan 63 0 0 05 May 2023
Triangle Counting with Local Edge Differential Privacy T. Eden Quanquan C. Liu Sofya Raskhodnikova Adam D. Smith 142 13 0 03 May 2023
Pool Inference Attacks on Local Differential Privacy: Quantifying the Privacy Guarantees of Apple's Count Mean Sketch in Practice Andrea Gadotti Frederick Sell Reethika Ramesh Jinyuan Jia 55 18 0 14 Apr 2023
30 Years of Synthetic Data Joerg Drechsler Anna Haensch 57 16 0 04 Apr 2023
A Communication-efficient Local Differentially Private Algorithm in Federated Optimization Syed Eqbal Alam Dhirendra Shukla Shrisha Rao FedML 55 2 0 04 Apr 2023
Foundation Models and Fair Use Peter Henderson Xuechen Li Dan Jurafsky Tatsunori Hashimoto Mark A. Lemley Percy Liang 82 123 0 28 Mar 2023
An Improved Christofides Mechanism for Local Differential Privacy Framework She Sun Li Zhou Xiaoran Yan 34 0 0 01 Mar 2023
What Are the Chances? Explaining the Epsilon Parameter in Differential Privacy Priyanka Nanayakkara Mary Anne Smart Rachel Cummings Gabriel Kaptchuk Elissa M. Redmiles 99 34 0 01 Mar 2023
Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices Qiying Pan Yifei Zhu Lingyang Chu FedML 75 10 0 01 Mar 2023
Multi-Message Shuffled Privacy in Federated Learning Antonious M. Girgis Suhas Diggavi FedML 95 9 0 22 Feb 2023
Differential Aggregation against General Colluding Attackers Rong Du Qingqing Ye Yue Fu Haibo Hu Jin Li Chengfang Fang Jie Shi AAML 66 11 0 18 Feb 2023
Private Statistical Estimation of Many Quantiles Clément Lalanne Aurélien Garivier Rémi Gribonval 60 6 0 14 Feb 2023
LDPTrace: Locally Differentially Private Trajectory Synthesis Yuntao Du Yujia Hu Zhikun Zhang Ziquan Fang Lu Chen Baihua Zheng Yunjun Gao 90 52 0 13 Feb 2023
On the Efficacy of Differentially Private Few-shot Image Classification Marlon Tobaben Aliaksandra Shysheya J. Bronskill Andrew Paverd Shruti Tople Santiago Zanella Béguelin Richard Turner Antti Honkela 84 12 0 02 Feb 2023
Differentially Private Confidence Intervals for Proportions under Stratified Random Sampling Shurong Lin Mark Bun Marco Gaboardi E. D. Kolaczyk Adam D. Smith 80 6 0 19 Jan 2023
Towards Separating Computational and Statistical Differential Privacy Badih Ghazi Rahul Ilango Pritish Kamath Ravi Kumar Pasin Manurangsi 54 5 0 31 Dec 2022
On Differentially Private Counting on Trees Badih Ghazi Pritish Kamath Ravi Kumar Pasin Manurangsi Kewen Wu 53 8 0 22 Dec 2022