PUDA - Privacy and Unforgeability for Data Aggregation
By Iraklis Leontiadis, Kaoutar Elkhiyaoui, Melek Önen, Refik Molva. 2015
35 citations recorded by the source corpus.
Subfields: Artificial Intelligence
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- H. Brendan McMahan
- Jakub Konecný
- Daniel Ramage
- Amir Salman Avestimehr
- Keith Bonawitz
- Qiang Yang
- Vitaly Shmatikov
- Vladimir Ivanov
Citations in the corpus
- Honeycrisp: large-scale differentially private aggregation without a trusted core (2019, background): “For instance, PDDP [20] and PROCHLO [13] both make use of a proxy to send information from a client to an analyst, [24] uses a trusted third party, and [52] relies on a trusted dealer to set up keys.”
- Practical Secure Aggregation for Privacy-Preserving Machine Learning (2017, background): “[41] calls for a trusted dealer to set up the keys.”