Assessing Generalization in Deep Reinforcement Learning

1 code implementation • ICLR 2019 • Charles Packer, Katelyn Gao, Jernej Kos, Philipp Krähenbühl, Vladlen Koltun, Dawn Song

Our aim is to catalyze community-wide progress on generalization in deep RL.

Out-of-Distribution Generalization reinforcement-learning +1

Ekiden: A Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contract Execution

no code implementations • 14 Apr 2018 • Raymond Cheng, Fan Zhang, Jernej Kos, Warren He, Nicholas Hynes, Noah Johnson, Ari Juels, Andrew Miller, Dawn Song

Smart contracts are applications that execute on blockchains.

Cryptography and Security

The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks

no code implementations • 22 Feb 2018 • Nicholas Carlini, Chang Liu, Úlfar Erlingsson, Jernej Kos, Dawn Song

This paper describes a testing methodology for quantitatively assessing the risk that rare or unique training-data sequences are unintentionally memorized by generative sequence models---a common type of machine-learning model.

Delving into adversarial attacks on deep policies

no code implementations • 18 May 2017 • Jernej Kos, Dawn Song

Adversarial examples have been shown to exist for a variety of deep learning architectures.

reinforcement-learning Reinforcement Learning (RL)

Adversarial examples for generative models

1 code implementation • 22 Feb 2017 • Jernej Kos, Ian Fischer, Dawn Song

We explore methods of producing adversarial examples on deep generative models such as the variational autoencoder (VAE) and the VAE-GAN.

Classification General Classification