3 papers
cs.CY2020
Preference-Based Privacy Trading
Ranjan Pal, Yixuan Wang, Swades De +2
The question we raise through this paper is: Is it economically feasible to trade consumer personal information with their formal consent (permission) and in return provide them in…
cs.SI2020
Data Trading with a Monopoly Social Network: Outcomes are Mostly Privacy Welfare Damaging
Ranjan Pal, Junhui Li, Yixuan Wang +3
This paper argues that data of strategic individuals with heterogeneous privacy valuations in a distributed online social network (e.g., Facebook) will be under-priced, if traded i…
cs.LG2019
Learning to Prevent Leakage: Privacy-Preserving Inference in the Mobile Cloud
Shuang Zhang, Liyao Xiang, Congcong Li +4
Powered by machine learning services in the cloud, numerous learning-driven mobile applications are gaining popularity in the market. As deep learning tasks are mostly computation-…