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...
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...
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...
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...
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...