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Abstract: Distributed constraint satisfaction (distributed CSP) addresses the problem of assigning values to a set of variables, to satisfy the secret constraints of several participants. Many have argued so far about how to formalize the privacy requirements on input constraints. However, we notice that not sufficient attention was given to formalizing the description of what solution is desired. Different criteria of selecting a solution have strong consequences on an inherent privacy loss. We conclude ... (Update)
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BibTeX entry: (Update)
M.-C. Silaghi and V. Rajeshirke, `The effect of policies for selecting the solution of a DisCSP on privacy loss', in AAMAS, pp. 1396--1397, (2004). http://citeseer.ist.psu.edu/silaghi04effect.html More
@inproceedings{ silaghi04effect,
author = "Marius-Calin Silaghi and Vaibhav Rajeshirke",
title = "The effect of policies for selecting the solution of a {DisCSP} on privacy
loss",
booktitle = "AAMAS'04",
year = "2004,
url = "citeseer.ist.psu.edu/silaghi04effect.html" }
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2 Incentive compatible open constraint optimization (context) - Faltings - 2003
1 A suite of secure multi-party computation algorithms for sol.. (context) - Silaghi
1 Using privacy loss to guide decisions in distributed CSP sea.. (context) - Wallace, Silaghi - 2004
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