PPDMTA 2017 - Privacy Preserving Data Mining: Techniques and Applications Workshop

With advances in social networks, data collection and storage technology, personal privacy is becoming a big concern in both research community and industry. In the research community, topics such as privacy-preserving data mining (PPDM) and privacy-preserving data publishing (PPDP) have attracted substantial attentions. Researchers have proposed various techniques to preserve privacy and have designed a number of metrics to evaluate the privacy level of these methods. Consequently, the interest in the privacy-preserving areas is very high and the notion is spanning into many research areas, ranging from the privacy community, to the data science communities including data mining, machine learning, statistics and learning theory.
​
The PPDMTA workshop will include recent advances in technologies and applications of privacy preserving research in data mining. The purpose of PPDMTA 2017 is to provide a forum for presentation and discussion of innovative ideas, cutting edge research results, and novel techniques, methods and applications on all aspects of privacy preserving.
​