27 citations · 94 across the 13 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
eess.SY2019★ 27 cited
ReachNN: Reachability Analysis of Neural-Network Controlled Systems
Chao Huang, Jiameng Fan, Wenchao Li +2
Applying neural networks as controllers in dynamical systems has shown great promises. However, it is critical yet challenging to verify the safety of such control systems with neu…
cs.LG2019★ 16 cited
Safety-Guided Deep Reinforcement Learning via Online Gaussian Process Estimation
Jiameng Fan, Wenchao Li
An important facet of reinforcement learning (RL) has to do with how the agent goes about exploring the environment. Traditional exploration strategies typically focus on efficienc…
cs.CR2019★ 24 cited
TrojDRL: Trojan Attacks on Deep Reinforcement Learning Agents
Panagiota Kiourti, Kacper Wardega, Susmit Jha +1
Recent work has identified that classification models implemented as neural networks are vulnerable to data-poisoning and Trojan attacks at training time. In this work, we show tha…