IEEE PAC 2017
August 1-3, 2017
Washington DC, USA

With the continuous proliferation of diverse Internet-based computing paradigms, large amounts of data containing privacy-sensitive information are being constantly published, collected, processed, and archived. This trend will be further fueled up by the new development of IoT (Internet of Things) technologies, smart cities, e-health, e-commerce, social and behavioral studies, social networking, edge computing, and cloud computing. As a result, fast-growing concerns about data privacy from academia as well as industry emerge in recent years, which motivate researchers and practitioners to think about questions such as how to guarantee that the collected or published data are not misused; how to ensure that data processing does not disclose any sensitive information; how to store the data securely for privacy protection; how to define new privacy policies that allow desirable services; and how to make sure that privacy policies issued by government and industry are not violated.

The IEEE Symposium on Privacy-Aware Computing (IEEE PAC) brings together experts from academia, government, and industry to present and discuss recent advances and new perspectives on related research and development in privacy-aware computing. We invite original theoretical contributions as well as system implementation/experimentation works on all topics related to "making computing privacy-aware" for privacy protection. Particularly, IEEE PAC solicits unpublished results in privacy threats and vulnerabilities of emerging applications for various computing platforms (mobile, IoT, cloud, social network, etc.), privacy-aware algorithms for big data analytics and networking, novel methodologies for privacy-protection (modern cryptography, game theory, etc.), policies for privacy-aware computing, etc. Topics of interests include, but are not limited to, the following subject categories:

Privacy-aware mobile computing
Privacy-aware information retrieval
Privacy-aware computation outsourcing
Privacy-preserving data collection
Privacy-aware data mining and machine learning
Privacy-aware financial technology
Privacy-aware bio-computing
Privacy-aware social computing
Differential privacy and data perturbation techniques
Privacy-aware database systems
Privacy issues in wearable computing and e-healthcare
Privacy issues in Internet of Things
Privacy issues in web services
Privacy issues in network systems
Privacy issues in wireless systems
Privacy issues in mobile sensing
Privacy issues in social and behavioral studies
Location/Localization privacy
Anonymous Communications
Privacy issues in software defined networks
Privacy technologies for digital currency and mobile payment
Hardware-related privacy technologies
Privacy threats and countermeasures
Policy issues for privacy-aware computing
We solicit regular papers that present novel and unpublished research results. Position papers that define new problems or provide visions and clarifications in privacy-aware computing are particularly welcome. Besides, we will include an industry/government track, which will contain talks, demos, and exhibitions from non-academia organizations, to demonstrate the recent advances in privacy products and prototypes, and present and discuss critical challenges, government policies, upcoming research directions, etc. The goal of this industry/government track is to further foster collaborations between academia, industry, and government, so as to more effectively push the frontier of privacy-aware computing.

Important Dates
Submission Deadline: 03/31/2017
Notification: 05/31/2017
Camera-Ready Submission Date: 06/20/2017


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