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Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks.

, , , , , , , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 12719-12735. PMLR, (2021)

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Jiayin Yuan

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Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing., , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 10340-10361. PMLR, (2022)Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing., , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 28976-29008. PMLR, (2023)Accelerated Federated Learning with Decoupled Adaptive Optimization., , , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 10298-10322. PMLR, (2022)Integrated Defense for Resilient Graph Matching., , , , , , , , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 8982-8997. PMLR, (2021)Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks., , , , , , , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 12719-12735. PMLR, (2021)Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory., , , , , , , , , и . NeurIPS, стр. 30196-30210. (2021)