Prio: Private, Robust, and Scalable Computation of Aggregate Statistics

Prio: Private, Robust, and Scalable Computation of Aggregate Statistics

18 March 2017

Henry Corrigan-Gibbs

Dan Boneh

Papers citing "Prio: Private, Robust, and Scalable Computation of Aggregate Statistics"

6 / 6 papers shown

Title
PriRoAgg: Achieving Robust Model Aggregation with Minimum Privacy Leakage for Federated Learning Sizai Hou Songze Li Tayyebeh Jahani-Nezhad Giuseppe Caire FedML 83 2 0 12 Jul 2024
Efficient Private Statistics with Succinct Sketches Luca Melis G. Danezis Emiliano De Cristofaro 34 124 0 25 Aug 2015
Local, Private, Efficient Protocols for Succinct Histograms Raef Bassily Adam D. Smith FedML 49 456 0 18 Apr 2015
Building a RAPPOR with the Unknown: Privacy-Preserving Learning of Associations and Data Dictionaries Giulia Fanti Vasyl Pihur Ulfar Erlingsson 42 298 0 04 Mar 2015
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response Ulfar Erlingsson Vasyl Pihur Aleksandra Korolova 59 1,977 0 25 Jul 2014
Accountable Anonymous Group Messaging Henry Corrigan-Gibbs Bryan Ford 63 231 0 18 Apr 2010