LDP-FPMiner: FP-Tree Based Frequent Itemset Mining with Local Differential Privacy

3 September 2022

Papers citing "LDP-FPMiner: FP-Tree Based Frequent Itemset Mining with Local Differential Privacy"

11 / 11 papers shown

Title
Communication-Efficient Triangle Counting under Local Differential Privacy Jacob Imola Takao Murakami Kamalika Chaudhuri 123 32 0 13 Oct 2021
Frequency Estimation under Local Differential Privacy [Experiments, Analysis and Benchmarks] Graham Cormode Samuel Maddock Carsten Maple 51 54 0 30 Mar 2021
PCKV: Locally Differentially Private Correlated Key-Value Data Collection with Optimized Utility Xiaolan Gu Ming Li Yueqiang Cheng Li Xiong Yang Cao 63 81 0 28 Nov 2019
Collecting and Analyzing Multidimensional Data with Local Differential Privacy Ning Wang Xiaokui Xiao Yifan Yang Jun Zhao S. Hui Hyejin Shin Junbum Shin Ge Yu 56 327 0 28 Jun 2019
Calibrate: Frequency Estimation and Heavy Hitter Identification with Local Differential Privacy via Incorporating Prior Knowledge Jinyuan Jia Neil Zhenqiang Gong 88 42 0 05 Dec 2018
Collecting Telemetry Data Privately Bolin Ding Janardhan Kulkarni Sergey Yekhanin 68 689 0 05 Dec 2017
Privacy Loss in Apple's Implementation of Differential Privacy on MacOS 10.12 Jun Tang Aleksandra Korolova Xiaolong Bai Xueqiang Wang Xiaofeng Wang 66 292 0 08 Sep 2017
Optimal Differentially Private Mechanisms for Randomised Response N. Holohan D. Leith O. Mason 84 63 0 16 Dec 2016
Building a RAPPOR with the Unknown: Privacy-Preserving Learning of Associations and Data Dictionaries Giulia Fanti Vasyl Pihur Ulfar Erlingsson 63 299 0 04 Mar 2015
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response Ulfar Erlingsson Vasyl Pihur Aleksandra Korolova 109 2,001 0 25 Jul 2014
What Can We Learn Privately? S. Kasiviswanathan Homin K. Lee Kobbi Nissim Sofya Raskhodnikova Adam D. Smith 139 1,474 0 06 Mar 2008