Liu, C., Salzmann, M., & Susstrunk, S. (2023). Training Provably Robust Models by Polyhedral Envelope Regularization. IEEE transaction on neural networks and learning systems, 34(6), 3146-3160. https://doi.org/10.1109/TNNLS.2021.3111892
Chicago Style (17th ed.) CitationLiu, Chen, Mathieu Salzmann, and Sabine Susstrunk. "Training Provably Robust Models by Polyhedral Envelope Regularization." IEEE Transaction on Neural Networks and Learning Systems 34, no. 6 (2023): 3146-3160. https://doi.org/10.1109/TNNLS.2021.3111892.
MLA (9th ed.) CitationLiu, Chen, et al. "Training Provably Robust Models by Polyhedral Envelope Regularization." IEEE Transaction on Neural Networks and Learning Systems, vol. 34, no. 6, 2023, pp. 3146-3160, https://doi.org/10.1109/TNNLS.2021.3111892.