Calibrate: Frequency Estimation and Heavy Hitter Identification with Local Differential Privacy via Incorporating Prior Knowledge

5 December 2018

Papers citing "Calibrate: Frequency Estimation and Heavy Hitter Identification with Local Differential Privacy via Incorporating Prior Knowledge"

17 / 17 papers shown

Title
Data Poisoning Attacks to Local Differential Privacy Protocols for Graphs Xi He Kai Huang Qingqing Ye Haibo Hu AAML 43 1 0 31 Dec 2024
DP-RuL: Differentially-Private Rule Learning for Clinical Decision Support Systems Josephine Lamp Lu Feng David Evans 22 0 0 15 May 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 29 6 0 14 Mar 2024
Privacy-Preserving Federated Heavy Hitter Analytics for Non-IID Data Jiaqi Shao Shanshan Han Chaoyang He B. Luo FedML 33 1 0 05 Jul 2023
Local Differentially Private Frequency Estimation based on Learned Sketches Meifan Zhang Sixin Lin Lihua Yin 16 1 0 31 Oct 2022
LDP-FPMiner: FP-Tree Based Frequent Itemset Mining with Local Differential Privacy Zhili Chen Jiali Wang 11 2 0 03 Sep 2022
Privacy Concerns Raised by Pervasive User Data Collection From Cyberspace and Their Countermeasures Yinhao Jiang Ba-Dung Le T. Zia Praveen Gauravaram 15 1 0 09 Feb 2022
Poisoning Attacks to Local Differential Privacy Protocols for Key-Value Data Yongji Wu Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong AAML 27 31 0 22 Nov 2021
Secure Hot Path Crowdsourcing with Local Differential Privacy under Fog Computing Architecture Mengmeng Yang Ivan Tjuawinata Kwok Yan Lam Jun Zhao Lin Sun FedML 22 23 0 26 Dec 2020
A Comprehensive Survey on Local Differential Privacy Toward Data Statistics and Analysis Teng Wang Xuefeng Zhang Xuefeng Zhang Xinyu Yang 16 86 0 11 Oct 2020
Local Differential Privacy and Its Applications: A Comprehensive Survey Mengmeng Yang Lingjuan Lyu Jun Zhao Tianqing Zhu Kwok-Yan Lam 18 137 0 09 Aug 2020
Estimating Numerical Distributions under Local Differential Privacy Zitao Li Tianhao Wang Milan Lopuhaä-Zwakenberg B. Škorić Ninghui Li 24 86 0 02 Dec 2019
Improving Frequency Estimation under Local Differential Privacy Milan Lopuhaä-Zwakenberg Zitao Li B. Škorić Ninghui Li 13 1 0 24 Nov 2019
Data Poisoning Attacks to Local Differential Privacy Protocols Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong AAML 33 76 0 05 Nov 2019
Defending against Machine Learning based Inference Attacks via Adversarial Examples: Opportunities and Challenges Jinyuan Jia Neil Zhenqiang Gong AAML SILM 17 16 0 17 Sep 2019
Locally Differentially Private Frequency Estimation with Consistency Tianhao Wang Milan Lopuhaä-Zwakenberg Zitao Li B. Škorić Ninghui Li 26 74 0 20 May 2019
BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model Brendan Avent Aleksandra Korolova David Zeber Torgeir Hovden B. Livshits FedML 32 98 0 02 May 2017