Collecting Telemetry Data Privately

5 December 2017

Papers citing "Collecting Telemetry Data Privately"

50 / 346 papers shown

Title
Differentially Private Sparse Linear Regression with Heavy-tailed Responses Xizhi Tian Meng Ding Touming Tao Zihang Xiang Di Wang 15 0 0 07 Jun 2025
Prink: $k_s$ -Anonymization for Streaming Data in Apache Flink Philip Groneberg Saskia Nuñez von Voigt Thomas Janke Louis Loechel Karl Wolf Elias Grünewald Frank Pallas 19 0 0 19 May 2025
Fine-grained Manipulation Attacks to Local Differential Privacy Protocols for Data Streams Xinyu Li Xuebin Ren Shusen Yang Liang Shi Chia-Mu Yu AAML 78 0 0 02 May 2025
Gaussian Differential Private Bootstrap by Subsampling Holger Dette Carina Graw 97 0 0 02 May 2025
From Randomized Response to Randomized Index: Answering Subset Counting Queries with Local Differential Privacy Qingqing Ye Liantong Yu Kai Huang Xiaokui Xiao Weiran Liu Haibo Hu 102 0 0 24 Apr 2025
Dual Utilization of Perturbation for Stream Data Publication under Local Differential Privacy Rong Du Qingqing Ye Yaxin Xiao Liantong Yu Yue Fu Haibo Hu 51 0 0 21 Apr 2025
A Unified View of Optimal Kernel Hypothesis Testing Antonin Schrab 77 3 0 10 Mar 2025
Data Poisoning Attacks to Locally Differentially Private Range Query Protocols Ting-Wei Liao Chih-Hsun Lin Yu-Lin Tsai Takao Murakami Chia-Mu Yu Jun Sakuma Chun-ying Huang Hiroaki Kikuchi AAML 89 0 0 05 Mar 2025
Revisiting Locally Differentially Private Protocols: Towards Better Trade-offs in Privacy, Utility, and Attack Resistance Héber H. Arcolezi Sébastien Gambs AAML 87 0 0 03 Mar 2025
Learning from End User Data with Shuffled Differential Privacy over Kernel Densities Tal Wagner FedML 94 0 0 21 Feb 2025
Learning with Differentially Private (Sliced) Wasserstein Gradients David Rodríguez-Vítores Clément Lalanne Jean-Michel Loubes FedML 111 0 0 03 Feb 2025
Poisoning Prevention in Federated Learning and Differential Privacy via Stateful Proofs of Execution Norrathep Rattanavipanon Ivan de Oliviera Nunes 160 0 0 28 Jan 2025
On the Robustness of LDP Protocols for Numerical Attributes under Data Poisoning Attacks Xiaoguang Li Zitao Li Ninghui Li Wenhai Sun AAML 134 4 0 28 Jan 2025
Federated Heavy Hitter Analytics with Local Differential Privacy Yuemin Zhang Qingqing Ye Haibo Hu FedML 227 1 0 03 Jan 2025
Segmented Private Data Aggregation in the Multi-message Shuffle Model Shaowei Wang Hongqiao Chen Sufen Zeng Ruilin Yang Hui Jiang ... Kaiqi Yu Rundong Mei Shaozheng Huang Wei Yang Bangzhou Xin FedML 126 0 0 31 Dec 2024
When Focus Enhances Utility: Target Range LDP Frequency Estimation and Unknown Item Discovery Wanrong Zhang Bo Jiang Donghang Lu Jian Du Qiang Yan 60 0 0 23 Dec 2024
Distributed, communication-efficient, and differentially private estimation of KL divergence Mary Scott Sayan Biswas Graham Cormode Carsten Maple FedML 114 0 0 25 Nov 2024
Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime Lasse Vuursteen 42 0 0 02 Nov 2024
Exactly Minimax-Optimal Locally Differentially Private Sampling Hyun-Young Park Shahab Asoodeh Si-Hyeon Lee 101 1 0 30 Oct 2024
Enhancing Feature-Specific Data Protection via Bayesian Coordinate Differential Privacy Maryam Aliakbarpour Syomantak Chaudhuri T. Courtade Alireza Fallah Michael I. Jordan 72 0 0 24 Oct 2024
Formal Privacy Guarantees with Invariant Statistics Young Hyun Cho Jordan Awan 54 2 0 22 Oct 2024
Privacy by Design: Bringing User Awareness to Privacy Risks in Internet of Things Usama Younus Rie Kamikubo 21 0 0 16 Oct 2024
Differential Privacy on Trust Graphs Badih Ghazi Ravi Kumar Pasin Manurangsi Serena Wang 49 1 0 15 Oct 2024
"I inherently just trust that it works": Investigating Mental Models of Open-Source Libraries for Differential Privacy Patrick Song Jayshree Sarathy Michael Shoemate Salil P. Vadhan 55 1 0 13 Oct 2024
Testing Credibility of Public and Private Surveys through the Lens of Regression Debabrota Basu Sourav Chakraborty Debarshi Chanda Buddha Dev Das Arijit Ghosh Arnab Ray 63 0 0 07 Oct 2024
Privately Learning Smooth Distributions on the Hypercube by Projections Clément Lalanne Sébastien Gadat 72 1 0 16 Sep 2024
A Statistical Viewpoint on Differential Privacy: Hypothesis Testing, Representation and Blackwell's Theorem Weijie J. Su 82 1 0 14 Sep 2024
Grid-Based Decompositions for Spatial Data under Local Differential Privacy Alina Geiger Dominik Sobania Ameer Taweel Mehmet Emre Gursoy 62 0 0 31 Jul 2024
Beyond Statistical Estimation: Differentially Private Individual Computation via Shuffling Shaowei Wang Changyu Dong Xiangfu Song Jin Li Zhili Zhou Di Wang Han Wu 114 0 0 26 Jun 2024
On Computing Pairwise Statistics with Local Differential Privacy Badih Ghazi Pritish Kamath Ravi Kumar Pasin Manurangsi Adam Sealfon FedML 81 2 0 24 Jun 2024
Privacy-Preserving ECG Data Analysis with Differential Privacy: A Literature Review and A Case Study Arin Ghazarian Jianwei Zheng Cyril Rakovski 78 0 0 19 Jun 2024
Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints T. T. Cai Abhinav Chakraborty Lasse Vuursteen FedML 83 3 0 10 Jun 2024
Federated Nonparametric Hypothesis Testing with Differential Privacy Constraints: Optimal Rates and Adaptive Tests T. T. Cai Abhinav Chakraborty Lasse Vuursteen FedML 77 2 0 10 Jun 2024
Measure-Observe-Remeasure: An Interactive Paradigm for Differentially-Private Exploratory Analysis Priyanka Nanayakkara Hyeok Kim Yifan Wu Ali Sarvghad Narges Mahyar G. Miklau Jessica Hullman 63 20 0 04 Jun 2024
Hiding Your Awful Online Choices Made More Efficient and Secure: A New Privacy-Aware Recommender System Shibam Mukherjee Roman Walch Fredrik Meisingseth Elisabeth Lex Christian Rechberger 33 0 0 30 May 2024
Enhancing Learning with Label Differential Privacy by Vector Approximation Puning Zhao Rongfei Fan Huiwen Wu Qingming Li Xiaogang Xu Zhe Liu 82 2 0 24 May 2024
Uncertainty quantification by block bootstrap for differentially private stochastic gradient descent Holger Dette Carina Graw 47 0 0 21 May 2024
Sketches-based join size estimation under local differential privacy Meifan Zhang Xin Liu Lihua Yin 55 0 0 19 May 2024
Smooth Sensitivity for Geo-Privacy Yuting Liang Ke Yi 79 1 0 10 May 2024
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues Zibo Wang Haichao Ji Yifei Zhu Dan Wang Zhu Han 114 1 0 19 Apr 2024
Real-Time Trajectory Synthesis with Local Differential Privacy Yujia Hu Yuntao Du Zhikun Zhang Ziquan Fang Lu Chen Kai Zheng Yunjun Gao 74 9 0 17 Apr 2024
Advances in Differential Privacy and Differentially Private Machine Learning Saswat Das Subhankar Mishra 66 4 0 06 Apr 2024
LDPRecover: Recovering Frequencies from Poisoning Attacks against Local Differential Privacy Xinyue Sun Qingqing Ye Haibo Hu Jiawei Duan Tianyu Wo Jie Xu Renyu Yang AAML 61 6 0 14 Mar 2024
Analysis of Privacy Leakage in Federated Large Language Models Minh Nhat Vu Truc D. T. Nguyen Tre' R. Jeter My T. Thai 76 7 0 02 Mar 2024
Privacy for Fairness: Information Obfuscation for Fair Representation Learning with Local Differential Privacy Songjie Xie Youlong Wu Jiaxuan Li Ming Ding Khaled B. Letaief AAML 59 1 0 16 Feb 2024
Why Does Differential Privacy with Large Epsilon Defend Against Practical Membership Inference Attacks? Andrew Lowy Zhuohang Li Jing Liu T. Koike-Akino K. Parsons Ye Wang 77 9 0 14 Feb 2024
Evolving privacy: drift parameter estimation for discretely observed i.i.d. diffusion processes under LDP Chiara Amorino A. Gloter Hélene Halconruy 50 1 0 31 Jan 2024
An Algorithm for Streaming Differentially Private Data Girish Kumar Thomas Strohmer Roman Vershynin 77 2 0 26 Jan 2024
Randomized Response with Gradual Release of Privacy Budget Mingen Pan 66 1 0 25 Jan 2024
A Simple and Practical Method for Reducing the Disparate Impact of Differential Privacy Lucas Rosenblatt Julia Stoyanovich Christopher Musco 52 2 0 18 Dec 2023