2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CR2022
Dormant Neural Trojans
Feisi Fu, Panagiota Kiourti, Wenchao Li
We present a novel methodology for neural network backdoor attacks. Unlike existing training-time attacks where the Trojaned network would respond to the Trojan trigger after train…
cs.AI2022★ 2 cited
A Hierarchical Bayesian Approach to Inverse Reinforcement Learning with Symbolic Reward Machines
Weichao Zhou, Wenchao Li
A misspecified reward can degrade sample efficiency and induce undesired behaviors in reinforcement learning (RL) problems. We propose symbolic reward machines for incorporating hi…
cs.LG2022
Programmatic Reward Design by Example
Weichao Zhou, Wenchao Li
Reward design is a fundamental problem in reinforcement learning (RL). A misspecified or poorly designed reward can result in low sample efficiency and undesired behaviors. In this…