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AAAI
2006
13 years 6 months ago
Analysis of Privacy Loss in Distributed Constraint Optimization
Distributed Constraint Optimization (DCOP) is rapidly emerging as a prominent technique for multiagent coordination. However, despite agent privacy being a key motivation for appl...
Rachel Greenstadt, Jonathan P. Pearce, Milind Tamb...
STOC
2010
ACM
193views Algorithms» more  STOC 2010»
13 years 8 months ago
Privacy Amplification with Asymptotically Optimal Entropy Loss
We study the problem of "privacy amplification": key agreement between two parties who both know a weak secret w, such as a password. (Such a setting is ubiquitous on th...
Nishanth Chandran, Bhavana Kanukurthi, Rafail Ostr...
ATAL
2007
Springer
13 years 10 months ago
SSDPOP: improving the privacy of DCOP with secret sharing
Multi-agent systems designed to work collaboratively with groups of people typically require private information that people will entrust to them only if they have assurance that ...
Rachel Greenstadt, Barbara J. Grosz, Michael D. Sm...
ICDE
2008
IEEE
178views Database» more  ICDE 2008»
14 years 6 months ago
On the Optimal Selection of k in the k-Anonymity Problem
When disseminating data involving human subjects, researchers have to weigh in the requirements of privacy of the individuals involved in the data. A model widely used for enhancin...
Rinku Dewri, Indrajit Ray, Indrakshi Ray, Darrell ...
GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
13 years 2 months ago
A multi-objective approach to data sharing with privacy constraints and preference based objectives
Public data sharing is utilized in a number of businesses to facilitate the exchange of information. Privacy constraints are usually enforced to prevent unwanted inference of info...
Rinku Dewri, Darrell Whitley, Indrajit Ray, Indrak...