@mastersthesis {1531932,
	title = {Certifiably Accurate Private Data Release with Generative Adversarial Networks},
	year = {2020},
	type = {Bachelor of Arts Thesis},
	abstract = {
	Society is caught in a vise. The exponential growth in the power and ubiquity of computing devices has enabled the collection and analysis of data at an unprecedented scale. This Cambrian explosion in data collection promises enormous benefits across commercial, scientific, and policy fields. Unfortunately, this collection and analysis of increasingly-personal data has also proved to be a grave threat to individual{\textquoteright}s privacy.

},
	author = {Michael Fine}
}
