Lightweight Techniques for Private Heavy Hitters

Lightweight Techniques for Private Heavy Hitters

29 December 2020

Dan Boneh

Henry Corrigan-Gibbs

Papers citing "Lightweight Techniques for Private Heavy Hitters"

10 / 10 papers shown

Title
Bandwidth-Efficient Two-Server ORAMs with O(1) Client Storage Wei Wang Xianglong Zhang Peng Xu Rongmao Chen Laurence T. Yang 56 0 0 27 Mar 2025
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
Privacy-Preserving Epidemiological Modeling on Mobile Graphs Daniel Gunther Marco Holz B. Judkewitz Helen Mollering Benny Pinkas T. Schneider Ajith Suresh 44 4 0 01 Jun 2022
Express: Lowering the Cost of Metadata-hiding Communication with Cryptographic Privacy Saba Eskandarian Henry Corrigan-Gibbs Matei A. Zaharia Dan Boneh 21 76 0 20 Nov 2019
Prio: Private, Robust, and Scalable Computation of Aggregate Statistics Henry Corrigan-Gibbs Dan Boneh 19 348 0 18 Mar 2017
Efficient Private Statistics with Succinct Sketches Luca Melis G. Danezis Emiliano De Cristofaro 29 124 0 25 Aug 2015
Local, Private, Efficient Protocols for Succinct Histograms Raef Bassily Adam D. Smith FedML 40 456 0 18 Apr 2015
Riposte: An Anonymous Messaging System Handling Millions of Users Henry Corrigan-Gibbs Dan Boneh David Mazières 37 254 0 20 Mar 2015
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