5 citations · 5 across the 4 of their papers we have counts for
Showing 2025Show all
2 papers · 1 filter
cs.LG2025
A Scalable Approach for Safe and Robust Learning via Lipschitz-Constrained Networks
Zain ul Abdeen, Vassilis Kekatos, Ming Jin
Certified robustness is a critical property for deploying neural networks (NN) in safety-critical applications. A principle approach to achieving such guarantees is to constrain th…
cs.LG2025
Parameter Stress Analysis in Reinforcement Learning: Applying Synaptic Filtering to Policy Networks
Zain ul Abdeen, Ming Jin
This paper explores reinforcement learning (RL) policy robustness by systematically analyzing network parameters under internal and external stresses. \textcolor{black}{We apply sy…