A fast private information retrieval protocol
By Carlos Aguilar Melchor, Philippe Gaborit. 2008
84 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition
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
- Laurent Fousse
- Marc-Olivier Killijian
- Joris Barrier
- Changyu Dong
- Liqun Chen
- Carlos Aguilar Melchor
- Philippe Gaborit
- Benoît Crespin
In Computational Theory and Mathematics
- Changyu Dong
- Liqun Chen
- Laurent Fousse
- Marc-Olivier Killijian
- Joris Barrier
- Carlos Aguilar Melchor
- Philippe Gaborit
- Benoît Crespin
In Computer Vision and Pattern Recognition
Citations in the corpus
- XPIR : Private Information Retrieval for Everyone (2016, methodology): “The (broken) schemes of Aguilar et al. [7] and Tros-tle and Parrish [8] represented the state-of-the-art in ef-ficient private information retrieval, allowing to reach processing speeds of hundreds of megabits per second on high-end CPUs and up to one gigabit per second on GPUs [14].”
- A Fast Single Server Private Information Retrieval Protocol with Low Communication Cost (2014, background): “Here we do not compare with Melchor’s protocol [18] because it is not secure.”
- High-Speed Private Information Retrieval Computation on GPU (2008, methodology): “We present in this article a proof-of-concept implementation of a single-database PIR scheme proposed by Aguilar and Gaborit [2, 3].”