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Differential privacy is one of the most common techniques in privacy-preserving machine learning due to its rigorous math definition and theoretical results. Transfer learning and Federated learning a...
Genomics and digital phenotyping (electronic medical records, imaging, self-reported surveys, etc) have the potential to transform our understanding, diagnosis and treatment of human diseases. Realizi...
The Internet of Things (IoT) is the next great technology frontier. At a basic level, IoT refers simply to networked devices, but the IoT vision is a complex ecosystem that ranges from cloud backend s...
PST2017, the fifteenth International Conference on Privacy, Security and Trust (PST), will be held in Calgary, Alberta, Canada. The conference will continue the tradition of bringing together researc...
With the rapid development and increasing complexity of computer systems and communication networks, user requirements for trust, security and privacy are becoming more and more demanding. Therefore, ...
To many people, smartphones and similar mobile devices have been an indispensable part of daily life and work. With personal financial and medical information and job related data being processed on t...
Since 1980, the IEEE Symposium on Security and Privacy has been the premier forum for presenting developments in computer security and electronic privacy, and for bringing together researchers and pra...
As we are deep into the Information Age, we also witness the explosive growth of data available on the Internet. Human beings have created quintillion bytes of data every day, which come from sensors,...
To many people, smartphones have been an indispensable part of daily life and work. With personal financial and medical information and job related data being processed on smartphones and related mobi...
Welcome to the official website of the 2017 International Conference on Cryptography, Security and Privacy, ICCSP 2017, will be held during March 17-19, 2017, in Wuhan, China. ICCSP 2017, aims to bri...
Despite much study, the computational complexity of differential privacy remains poorly understood. In this paper we consider the computational complexity of accurately answering a family QQ of statis...

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