ANONIZE: A Large-Scale Anonymous Survey System
By Susan Hohenberger, Steven Myers, Rafael Pass, Abhi Shelat. 2014
45 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
- Henry Corrigan-Gibbs
- Aniket Kate
- Dan Boneh
- Fabienne Eigner
- Ivan Pryvalov
- Francesca Pampaloni
- Matteo Maffei
- Brent Waters
Citations in the corpus
- Prio: Private, Robust, and Scalable Computation of Aggregate Statistics (2017, methodology): “(b) ANONIZE [76] and PrivStats [100] rely on an anonymizing proxy, such as Tor [51], to protect privacy against network eavesdroppers.”
- Doubly-Efficient zkSNARKs Without Trusted Setup (2018, unknown): “Definition 4 (Collection of non-interactive commitments [57]).”
- Differentially private data aggregation with optimal utility (2014, background): “ANONIZE [38] is a recently proposed large-scale anonymous survey system.”