Abstract: As information and computing technologies and "big data" analysis become more pervasive, so too does the concern about the privacy of sensitive information. In order to fulfill the promise of these technologies to make advances in areas such as health care, energy, smart communities, and homeland security, it is necessary to ensure that privacy protections are built in to the solutions. Differential privacy has been put forth as a promising technique for protecting the privacy of individuals while still enabling the use of data in many applications. In this talk, I will provide a brief overview of the privacy landscape, and then discuss differential privacy solutions in the context of anomaly detection and in the ongoing Jana project to provide private data as a service that integrates secure multiparty computation and differential privacy. Bio:
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