Privacy and Deanonymization

It is hard to protect privacy by simply anonymizing data. There are many de-anonymization techniques using Machine learning.

How about Social networks? There was a link prediction challenge and a team won it by deanonymizing the dataset1

Wang2009learning showed that it is possible to extract identifying information from GWAS research papers.

Topics

References

  1. http://www.kaggle.com/blog/2011/01/15/how-we-did-it-the-winners-of-the-ijcnn-social-network-challenge/ ; De-anonymizing Social Networks by Arvind Narayanan and Vitaly Shmatikov ; http://33bits.org/2011/03/09/link-prediction-by-de-anonymization-how-we-won-the-kaggle-social-network-challenge/ ↩