Data Synthesis based on Generative Adversarial Networks

Understand

Privacy is an important concern for our society where sharing data with partners or releasing data to the public is a frequent occurrence.

• Some of the techniques that are being used to achieve privacy are to remove identifiers, alter quasi-identifiers, and perturb values.
• Unfortunately, these approaches suffer from two limitations.
• First, it has been shown that private information can still be leaked if attackers possess some background knowledge or other information sources.