@inbook{b69c7635216745858bfc1dfc83b52806,
title = "Information theoretically secure oblivious polynomial evaluation: Model, bounds, and constructions",
abstract = "We introduce an information theoretical model for oblivious polynomial evaluation relying on predistributed data, and prove very general lower bounds on the size of the predistributed data, as well as the size of the communications in any (one-round) protocol. We then show that these bounds are tight by exhibiting a scheme for oblivious polynomial evaluation achieveing all the lower bounds simultaneously. We also present a natural generalisation to oblivious linear function evaluation.",
author = "Goichiro Hanaoka and Hideki Imai and Joern Mueller-Quade and Nascimento, {Anderson C.A.} and Akira Otsuka and Andreas Winter",
year = "2004",
doi = "10.1007/978-3-540-27800-9_6",
language = "English",
isbn = "9783540223795",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "62--73",
editor = "Huaxiong Wang and Josef Pieprzyk and Vijay Varadharajan",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
}