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Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack.

, , , , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 7144-7163. PMLR, (2022)

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Local Reweighting for Adversarial Training., , , , , and . CoRR, (2021)Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack., , , , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 7144-7163. PMLR, (2022)Nearest Neighbor Machine Translation is Meta-Optimizer on Output Projection Layer., , , , and . EMNLP, page 15592-15608. Association for Computational Linguistics, (2023)Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem., , , , , , and . IEEE Trans. Cybern., 52 (12): 13572-13585 (2022)Integrating the sentiments of multiple news providers for stock market index movement prediction: A deep learning approach based on evidential reasoning rule., , , , , and . Inf. Sci., (2022)Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem., , , , , , and . CoRR, (2021)Optimization in e-commerce market network based on value order parameter., , and . Inf. Technol. Manag., 17 (2): 187-197 (2016)IMTLab: An Open-Source Platform for Building, Evaluating, and Diagnosing Interactive Machine Translation Systems., , , , , , , , and . EMNLP, page 14903-14917. Association for Computational Linguistics, (2023)Maximum Mean Discrepancy is Aware of Adversarial Attacks., , , , , , and . CoRR, (2020)K-nearest neighbors rule combining prototype selection and local feature weighting for classification., , , , and . Knowl. Based Syst., (2022)