Session 11E

Enhancing Privacy with Synthetic Data

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As a result of the ubiquitous use of technology encroaching more and more on our day to day lives, we have seen strong benefits but also significant social harms due to the impact the use of modern technology has on our private lives. The ability to surveil all aspects of our lives online (and increasingly offline) has led to sweeping changes to laws designed to protect our data and privacy, across the world. Despite the changing legal regime, technologists constantly seek to use more and more data to predict, target and analyse our behaviour. But perhaps the answer to these risks can also be met by the same technologies which are causing them – through the use of modern machine learning solutions such as generative adversarial networks (GANs) we can create synthetic data with the same statistical attributes as real personal data, which as a result can provide technologists with the insights they desire without adversely impacting the fundamental rights of vast swathes of the World’s population.


Alexander Hanff

Lead Privacy Advisor, Inc


View our complete list of 2021 speakers here.