Reducing the Servers Computation in Private Information Retrieval: PIR with Preprocessing
By Amos Beimel, Yuval Ishai, Tal Malkin. 2000
52 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics
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
- Tal Malkin
- Amos Beimel
- Thomas Schneider
- Yuval Ishai
- Sarvar Patel
- Kevin Yeo
- Giuseppe Persiano
- Daniel Demmler
In Computational Theory and Mathematics
- Yuval Ishai
- Amos Beimel
- Tal Malkin
- Thomas Schneider
- Sarvar Patel
- Kevin Yeo
- Giuseppe Persiano
- Daniel Demmler
Citations in the corpus
- Private Stateful Information Retrieval (2018, methodology): “[9] in the multiple, non-colluding server setting that is information-theoretically secure.”
- RAID-PIR: Practical Multi-Server PIR (2014, background): “It is possible to reduce the computational complexity for the servers at the cost of additional storage as proposed in [BIM00].”
- Information-Theoretic Private Information Retrieval: A Unified Construction (2001, methodology): “For a list of other PIR-related works the reader can consult, e.g., [ 7 ].”
- Reducing the Servers’ Computation in Private Information Retrieval: PIR with Preprocessing (2004, background): “∗A preliminary version of this work appeared in [10].”