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 Particularly, IEEE PAC solicits unpublished results in privacy threats and vulnerabilities of emerging applications for various computing platforms (mobile, IoT, cloud, social network, etc.),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.