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Verifiably Safe Exploration for End-to-End Reinforcement Learning



Nathan Hunt , Nathan Fulton , Sara Magliacane , Nghia Hoang , Subhro Das , Armando Solar-Lezama


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Formal Verification of End-to-End Learning in Cyber-Physical Systems: Progress and Challenges



Nathan Fulton , Nathan Hunt , Nghia Hoang , Subhro Das

* 7 pages, 4 figures. NeurIPS Workshop on Safety and Robustness in Decision Making, 2019 

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On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method



Pu Zhao , Sijia Liu , Pin-Yu Chen , Nghia Hoang , Kaidi Xu , Bhavya Kailkhura , Xue Lin

* accepted by ICCV 2019 

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