Valuations of Possible States (VPS): A Unifying Quantitative Framework for Evaluating Privacy in Collaboration
Conference Proceeding Article
For agents deployed in real-world settings, such as businesses, universities and research laboratories, it is critical that agents protect their individual users’ privacy when interacting with others entities. Indeed, privacy is recognized as a key motivating factor in design of several multiagent algorithms, such as distributed constraint optimization (DCOP) algorithms. Unfortunately, rigorous and general quantitative metrics for analysis and comparison of such multiagent algorithms with respect to privacy loss are lacking. This paper takes a key step towards developing a general quantitative model from which one can analyze and generate metrics of privacy loss by introducing the VPS (Valuations of Possible States) framework. VPS is shown to capture various existing measures of privacy created for specific domains of distributed constraint satisfactions problems (DCSPs). The utility of VPS is further illustrated via analysis of DCOP algorithms, when such algorithms are used by personal assistant agents to schedule meetings among users. In addition, VPS allows us to quantitatively evaluate the properties of several privacy metrics generated through qualitative notions. We obtain the unexpected result that decentralization does not automatically guarantee superior protection of privacy.
Artificial Intelligence and Robotics
Intelligent Systems and Decision Analytics
Proceedings of the 4th International Conference on Autonomous Agents and Multi Agent Systems, AAMAS
City or Country
MAHESWARAN, Rajiv; Pearce, Jonathan; Varakantham, Pradeep Reddy; Bowring, Emma; and Tambe, Milind.
Valuations of Possible States (VPS): A Unifying Quantitative Framework for Evaluating Privacy in Collaboration. (2005). Proceedings of the 4th International Conference on Autonomous Agents and Multi Agent Systems, AAMAS. 1030-1037. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/994