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Private and Open Data in Asia: A Regional Guide.
With the explosion of information collection and big data analytics, the inherent value of data is often diluted by being shared without constraint. This happens at the individual level with loss of privacy, and also at the business level with loss of confidentiality and control.
In this talk, we will give an overview of the different methods of combining data from multiple sources for analysis without sharing data – partially homomorphic encryption, secure multiparty computation, and new results on machine learning from aggregated data.
These techniques will be illustrated with real world examples from:
We will explain how these technologies, as they mature, will allow individuals, businesses, and governments to maintain the benefits of a data-driven society, without losing control of their information or diluting its value.
Dr. Stephen Hardy is technology directory at National ICT Australia. He has extensive experience in applying data analytics to problems in industry and government. He was previously head of Canon’s Image and Video Research and Development Centre in Sydney, Australia. He holds a PhD in Astrophysics from the University of Sydney.
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