Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration

28 Aug 2020Ju FanTongyu LiuGuoliang LiJunyou ChenYuwei ShenXiaoyong Du

The proliferation of big data has brought an urgent demand for privacy-preserving data publishing. Traditional solutions to this demand have limitations on effectively balancing the tradeoff between privacy and utility of the released data... (read more)

PDF Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper

🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet