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Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration.

, , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 7513-7532. PMLR, (2023)

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A Unified Algebraic Perspective on Lipschitz Neural Networks., , , , and . ICLR, OpenReview.net, (2023)Advocating for Multiple Defense Strategies Against Adversarial Examples., , , and . PKDD/ECML Workshops, volume 1323 of Communications in Computer and Information Science, page 165-177. Springer, (2020)Theoretical evidence for adversarial robustness through randomization., , , , , , and . NeurIPS, page 11838-11848. (2019)On the Scalability and Memory Efficiency of Semidefinite Programs for Lipschitz Constant Estimation of Neural Networks., , , , , , and . ICLR, OpenReview.net, (2024)Building Compact and Robust Deep Neural Networks with Toeplitz Matrices.. CoRR, (2021)A Dynamical System Perspective for Lipschitz Neural Networks., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 15484-15500. PMLR, (2022)Certification of Deep Learning Models for Medical Image Segmentation., , , , , and . MICCAI (4), volume 14223 of Lecture Notes in Computer Science, page 611-621. Springer, (2023)Fine-grained Local Sensitivity Analysis of Standard Dot-Product Self-Attention., , , and . ICML, OpenReview.net, (2024)Interaction in MyEnglishOnline's placement test from a semiotic perspective., , , , and . IHC, page 187-196. ACM, (2014)LipSim: A Provably Robust Perceptual Similarity Metric., , , , and . CoRR, (2023)