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» Experimental analysis of privacy loss in DCOP algorithms
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COMAD
2008
13 years 7 months ago
Ambiguity: Hide the Presence of Individuals and Their Privacy with Low Information Loss
Publishing a database instance containing individual information poses two kinds of privacy risk: presence leakage, by which the attackers can explicitly identify individuals in (...
Hui Wang
NETWORKING
2004
13 years 7 months ago
Experimental Analysis of the SABUL Congestion Control Algorithm
Several new protocols such as RBUDP, User-Level UDP, Tsunami, and SABUL, have been proposed as alternatives to TCP for high speed data transfer. The purpose of this paper is to an...
Phoemphun Oothongsap, Yannis A. Viniotis, Mladen A...
ATAL
2003
Springer
13 years 11 months ago
An asynchronous complete method for distributed constraint optimization
We present a new polynomial-space algorithm, called Adopt, for distributed constraint optimization (DCOP). DCOP is able to model a large class of collaboration problems in multi-a...
Pragnesh Jay Modi, Wei-Min Shen, Milind Tambe, Mak...
SDMW
2004
Springer
13 years 11 months ago
Experimental Analysis of Privacy-Preserving Statistics Computation
The recent investigation of privacy-preserving data mining and other kinds of privacy-preserving distributed computation has been motivated by the growing concern about the privacy...
Hiranmayee Subramaniam, Rebecca N. Wright, Zhiqian...
PVLDB
2011
13 years 21 days ago
Personalized Social Recommendations - Accurate or Private?
With the recent surge of social networks such as Facebook, new forms of recommendations have become possible – recommendations that rely on one’s social connections in order t...
Ashwin Machanavajjhala, Aleksandra Korolova, Atish...