An upcoming talk [1] entitled "From Differential Privacy to Generative Adversarial Privacy" implies we can do better than DP: ...Our results also show that the

An upcoming talk [1] entitled "From Differential Privacy to Generative Adversarial Privacy" implies we can do better than DP: ...Our results also show that the strong privacy guarantees of differential privacy often come at a significant loss in utility. The second part of my talk is motivated by the following question: can we exploit data statistics to achieve a better privacy-utility tradeoff? To address this question, I will present a novel context-aware notion of privacy called generative adversarial privacy (GAP). GAP leverages recent advancements in generative adversarial networks (GANs) to arrive to a unified framework for data-driven privacy that has deep game-theoretic and information-theoretic roots. I will conclude my talk by showcasing the performance of GAP on real life datasets. [1] https://www.eventbrite.com/e/from-differential-privacy-to-generative-adversarial-privacy-tickets-42737831003#/ https://www.eventbrite.com/e/from-differential-privacy-to-ge...