Local, Private, Efficient Protocols for Succinct Histograms

18 April 2015

Papers citing "Local, Private, Efficient Protocols for Succinct Histograms"

10 / 10 papers shown

Title
Differentially Private Set Representations Sarvar Patel G. Persiano Joon Young Seo Kevin Yeo 115 0 0 28 Jan 2025
Federated Heavy Hitter Analytics with Local Differential Privacy Yuemin Zhang Qingqing Ye Haibo Hu FedML 146 1 0 03 Jan 2025
Distributed Differentially Private Data Analytics via Secure Sketching Jakob Burkhardt Hannah Keller Claudio Orlandi Chris Schwiegelshohn FedML 104 0 0 30 Nov 2024
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues Zibo Wang Haichao Ji Yifei Zhu Dan Wang Zhu Han 70 1 0 19 Apr 2024
Practical Privacy Preserving POI Recommendation Chaochao Chen Jun Zhou Bingzhe Wu W. Fang Li Wang Yuan Qi Xiaolin Zheng 40 68 0 05 Mar 2020
PrivMin: Differentially Private MinHash for Jaccard Similarity Computation Ziqi Yan Jiqiang Liu Gang Li Zhen Han Shuo Qiu 22 11 0 20 May 2017
Building a RAPPOR with the Unknown: Privacy-Preserving Learning of Associations and Data Dictionaries Giulia Fanti Vasyl Pihur Ulfar Erlingsson 39 298 0 04 Mar 2015
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response Ulfar Erlingsson Vasyl Pihur Aleksandra Korolova 54 1,977 0 25 Jul 2014
Distributed Private Heavy Hitters Justin Hsu S. Khanna Aaron Roth FedML 42 112 0 22 Feb 2012
What Can We Learn Privately? S. Kasiviswanathan Homin K. Lee Kobbi Nissim Sofya Raskhodnikova Adam D. Smith 95 1,459 0 06 Mar 2008