Information-Theoretic Private Information Retrieval: A Unified Construction
By Amos Beimel, Yuval Ishai. 2001
143 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
- Amos Beimel
- Yuval Ishai
- Razane Tajeddine
- Sergey Yekhanin
- Yoav Stahl
- Salim el Rouayheb
- David P. Woodruff
- Oliver Wilhelm Gnilke
In Computational Theory and Mathematics
- Amos Beimel
- Yuval Ishai
- Yoav Stahl
- Sergey Yekhanin
- David P. Woodruff
- Tal Malkin
- Eyal Kushilevitz
- Razane Tajeddine
Citations in the corpus
- Robust Private Information Retrieval from Coded Systems with Byzantine and Colluding Servers (2018, background): “Related work: Initially, PIR constructions served to reduce the total download cost from a storage system with data replicated on multiple servers [2]–[7].”
- Breaking the O(n/sup 1/(2k-1)/) barrier for information-theoretic Private Information Retrieval (2002, background): “This upper bound remained the best known until this work, in spite of various attempts to improve it [20, 21, 5].”
- Robust Information-Theoretic Private Information Retrieval (2002, methodology): “Specifically, the best communication complexity of such protocol is O(n1=b(2k 1)=t ) [7].”
- A geometric approach to information-theoretic private information retrieval (2005, methodology): “To illustrate the power of our approach, we also give alternative, geometric proofs of some of the best1-private upper bounds from [7].”
- Reducing the Servers Computation in Private Information Retrieval: PIR with Preprocessing (2000, methodology): “We rely on the PIR protocol of [6], whose properties are summarized by Lemma 4.”
- Privacy-Preserving Inter-database Operations (2004, background): “that is secure despite t of the k servers colluding [4].”
- Reducing the Servers’ Computation in Private Information Retrieval: PIR with Preprocessing (2004, methodology): “We rely on the PIR protocol of [6], whose properties are summarized by Lemma 4.”