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Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations., , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 9561-9571. PMLR, (2020)Invertible Residual Networks., , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 573-582. PMLR, (2019)Excessive Invariance Causes Adversarial Vulnerability, , , and . (2018)cite arxiv:1811.00401.Excessive Invariance Causes Adversarial Vulnerability., , , and . ICLR (Poster), OpenReview.net, (2019)Understanding and Mitigating Exploding Inverses in Invertible Neural Networks., , , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 1792-1800. PMLR, (2021)Invertible Residual Networks., , and . CoRR, (2018)Residual Flows for Invertible Generative Modeling., , , and . NeurIPS, page 9913-9923. (2019)Deep Relevance Regularization: Interpretable and Robust Tumor Typing of Imaging Mass Spectrometry Data., , , , , , , , and . CoRR, (2019)Principles of Neural Network Architecture Design - Invertibility and Domain Knowledge.. University of Bremen, Germany, (2019)A Model to Support Routine Office-Work., and . BTW, volume 270 of Informatik-Fachberichte, page 72-88. Springer, (1991)