  As personal data have been the new oil of the digital era, there is a growing
trend perceiving personal data as a commodity. Although some people are willing
to trade their personal data for money, they might still expect limited privacy
loss, and the maximum tolerable privacy loss varies with each individual. In
this paper, we propose a framework that enables individuals to trade their
personal data with bounded personalized privacy loss, which raises technical
challenges in the aspects of budget allocation and arbitrage-freeness. To deal
with those challenges,we propose two arbitrage-free trading mechanisms with
different advantages.
