113 citations · 335 across the 25 of their papers we have counts for
4 papers · 1 filter
Accelerating Representation Learning with View-Consistent Dynamics in Data-Efficient Reinforcement Learning
Tao Huang, Jiachen Wang, Xiao Chen
Learning informative representations from image-based observations is of fundamental concern in deep Reinforcement Learning (RL). However, data-inefficiency remains a significant b…
Understanding Compressive Adversarial Privacy
Xiao Chen, Peter Kairouz, Ram Rajagopal
Designing a data sharing mechanism without sacrificing too much privacy can be considered as a game between data holders and malicious attackers. This paper describes a compressive…
Generative Adversarial Privacy
Chong Huang, Peter Kairouz, Xiao Chen +2
We present a data-driven framework called generative adversarial privacy (GAP). Inspired by recent advancements in generative adversarial networks (GANs), GAP allows the data holde…
Context-Aware Generative Adversarial Privacy
Chong Huang, Peter Kairouz, Xiao Chen +2
Preserving the utility of published datasets while simultaneously providing provable privacy guarantees is a well-known challenge. On the one hand, context-free privacy solutions,…