Not All Synthetic Data is Created Equal
Quantifying Risk and Utility
Privacy-enhancing technologies (PETs) enable analysis on data without falling foul of increasingly strict data protection regulations. We will explore if it is possible to quantify privacy and re-identification risk before and after the application of PETs to demonstrate whether privacy risk has been reduced.
Failing to objectively measure privacy risk in a dataset can leave companies exposed to regulator scrutiny, fines and sanctions. This session will include a working example quantifying privacy risk in synthetic data.