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On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective
Feb. 5, 2024, 8:10 p.m. | Mathieu SerrurierIRIT-ADRIA, UT Franck MamaletUT Thomas FelUT Louis B\'ethuneUT3, UT, IRIT-ADRIA Thibaut BoissinUT
cs.CR updates on arXiv.org arxiv.org
adversarial adversarial attack algorithms applications attack cs.ai cs.cr cs.cv cs.lg explainable ai generated input insights maps networks neural networks noisy perspective robustness role stat.ml techniques transport
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