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Email: weinaw "at" illinois "dot" edu
I am a postdoc at the University of Illinois at Urbana-Champaign and Arizona State University, advised by Prof. R. Srikant and Prof. Lei Ying. I received my Ph.D. degree in electrical engineering from Arizona State University in 2016, advised by Prof. Lei Ying and Prof. Junshan Zhang. I received my Bachelor's degree from the Department of Electronic Engineering at Tsinghua University in 2009.
- Scheduling and resource allocation in stochastic networks
- Data privacy
I am interested in characterizing fundamental limits of computing systems that address emerging demands from big data analytics, and designing algorithms with optimality on throughput and delay performance.
I work on the notion of differential privacy for data privacy and its intersection with other areas including game theory, information theory and statistics. Our recent focus is the mechanism design problem for an (untrusted) data collector to purchase private data from individuals. I aim to understand the economic fundamentals in the market for private data: How do individuals behave when they have privacy concerns? How can the data collector incentivize individuals to hand over data with certain quantity of information, and thus give up certain quantity of privacy? What is the minimum amount of payment needed to purchase certain quantity of privacy—How much is privacy worth?
Publications and PreprintsDifferential Privacy
Buying Data from Privacy-Aware Individuals: The Effect of Negative PaymentsConference on Web and Internet Economics (WINE), Montreal, Canada, 2016.
The Value of Privacy: Strategic Data Subjects, Incentive Mechanisms and Fundamental LimitsKenneth C. Sevcik Outstanding Student Paper AwardIn Proceedings of ACM SIGMETRICS, pp. 249–260, Antibes Juan-les-Pins, France, Jun. 2016.
A Game-Theoretic Approach to Quality Control for Collecting Privacy-Preserving DataIn Proceedings of Annual Allerton Conference on Communication, Control, and Computing (Allerton), pp. 474–479, Monticello, IL, Sep. 2015.
A Minimax Distortion View of Differentially Private Query ReleaseIn Proceedings of Asilomar Conference on Signals, Systems, and Computers (Asilomar), pp. 1046–1050, Pacific Grove, CA, Nov. 2015.
On the Relation Between Identifiability, Differential Privacy, and Mutual-Information Privacy