Achieving Efficient Query Privacy for Location Based Services

By Femi G. Olumofin, Piotr K. Tysowski, Ian Goldberg, U. Hengartner. 2010

120 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

XPIR : Private Information Retrieval for Everyone (2016, background): “These works total about eighty citations, and have been used as a fundamental building block (or as a benchmark) in major and recent venues such as Usenix Security [15] (2011), NDSS [16, 17] (2013, 2014), and PETs [18, 19, 20, 21] (2010, 2012,”
Scalable and Private Media Consumption with Popcorn (2016, background): “Yet another response has been to circumscribe, in exchange for better performance, the portion of the library for which the privacy guarantees hold [76, 77, 99].”
Sublinear Scaling for Multi-Client Private Information Retrieval (2015, background): “We also note that, if the client is willing to reveal a subset of the database that contains the certificate she seeks, she can reduce the server’s computational load at the cost of revealing some information about her query [18].”
Optimally Robust Private Information Retrieval (2012, background): “These PIR protocols are well matched to deployment on mobile clients as they require low data transfer, low client-side computation, and moderate server-side computation [30].”