524 citations · 1.2k across the 6 of their papers we have counts for
6 papers
Assessing Generalization in Deep Reinforcement Learning
Charles Packer, Katelyn Gao, Jernej Kos +3
Deep reinforcement learning (RL) has achieved breakthrough results on many tasks, but agents often fail to generalize beyond the environment they were trained in. As a result, deep…
Ekiden: A Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contract Execution
Raymond Cheng, Fan Zhang, Jernej Kos +6
Smart contracts are applications that execute on blockchains. Today they manage billions of dollars in value and motivate visionary plans for pervasive blockchain deployment. While…
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks
Nicholas Carlini, Chang Liu, Úlfar Erlingsson +2
This paper describes a testing methodology for quantitatively assessing the risk that rare or unique training-data sequences are unintentionally memorized by generative sequence mo…
Delving into adversarial attacks on deep policies
Jernej Kos, Dawn Song
Adversarial examples have been shown to exist for a variety of deep learning architectures. Deep reinforcement learning has shown promising results on training agent policies direc…
Adversarial examples for generative models
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. Deep learning architectures are known to b…
nodewatcher: A Substrate for Growing Your own Community Network
Jernej Kos, Mitar Milutinović, Luka Čehovin
Community networks differ from regular networks by their organic growth patterns -- there is no central planning body that would decide how the network is built. Instead, the netwo…