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Due to the anonymity and low pay of workers in crowd sourcing platforms, there may be concerns regarding reliability and privacy-preservation when using such platforms to deliver services. This paper describes a technique for jointly providing privacy and reliability through stochastic perturbation of micro task definitions and fusion rules to combine the work of several workers. A mathematical model of a crowd sourcing system using this technique is proposed and precise threshold conditions on loss of privacy when workers collude are provided. Tradeoffs between privacy, reliability, and cost are determined.
Lav R. Varshney (Sun,) studied this question.