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Dynamic Private Task Assignment under Differential Privacy. (arXiv:2302.09511v1 [cs.CR])
cs.CR updates on arXiv.org arxiv.org
Data collection is indispensable for spatial crowdsourcing services, such as
resource allocation, policymaking, and scientific explorations. However,
privacy issues make it challenging for users to share their information unless
receiving sufficient compensation. Differential Privacy (DP) is a promising
mechanism to release helpful information while protecting individuals' privacy.
However, most DP mechanisms only consider a fixed compensation for each user's
privacy loss. In this paper, we design a task assignment scheme that allows
workers to dynamically improve their utility with dynamic …
collection compensation crowdsourcing data data collection design differential privacy dynamic information loss privacy private protecting release services share task under