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Divide and Slide: Layer-Wise Refinement for Output Range Analysis of Deep Neural Networks., , , , и . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 39 (11): 3323-3335 (2020)POLAR: A Polynomial Arithmetic Framework for Verifying Neural-Network Controlled Systems., , , , и . ATVA, том 13505 из Lecture Notes in Computer Science, стр. 414-430. Springer, (2022)POLAR-Express: Efficient and Precise Formal Reachability Analysis of Neural-Network Controlled Systems., , , , , , , , и . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 43 (3): 994-1007 (марта 2024)Robust Deep Reinforcement Learning via Multi-View Information Bottleneck., и . CoRR, (2021)REGLO: Provable Neural Network Repair for Global Robustness Properties., , , , , , , , и . AAAI, стр. 12061-12071. AAAI Press, (2024)Towards Verification-Aware Knowledge Distillation for Neural-Network Controlled Systems: Invited Paper., , , , и . ICCAD, стр. 1-8. ACM, (2019)POLAR-Express: Efficient and Precise Formal Reachability Analysis of Neural-Network Controlled Systems., , , , , , , , и . CoRR, (2023)ReachNN: Reachability Analysis of Neural-Network Controlled Systems., , , , и . CoRR, (2019)Adversarial Training and Provable Robustness: A Tale of Two Objectives., и . CoRR, (2020)Adversarial Training and Provable Robustness: A Tale of Two Objectives., и . AAAI, стр. 7367-7376. AAAI Press, (2021)