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Adversarial Training with Voronoi Constraints

Adversarial Training with Voronoi Constraints

2 May 2019

Dylan Hadfield-Menell

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Papers citing "Adversarial Training with Voronoi Constraints"

12 / 12 papers shown

Title
Automated Repair of Neural Networks Dor Cohen O. Strichman KELM NAI AAML 79 4 0 17 Jul 2022
Improved Search of Relevant Points for Nearest-Neighbor ClassificationEmbedded Systems and Applications (ESA), 2022 Alejandro Flores-Velazco 103 1 0 07 Mar 2022
On the (Un-)Avoidability of Adversarial Examples Sadia Chowdhury Ruth Urner AAML 130 1 0 24 Jun 2021
Universal Spectral Adversarial Attacks for Deformable ShapesComputer Vision and Pattern Recognition (CVPR), 2021 Arianna Rampini Franco Pestarini Luca Cosmo Simone Melzi Emanuele Rodolà AAML 191 18 0 07 Apr 2021
Defending SVMs against Poisoning Attacks: the Hardness and DBSCAN Approach Hu Ding Fan Yang Jiawei Huang AAML 192 1 0 14 Jun 2020
Measuring Adversarial Robustness using a Voronoi-Epsilon Adversary Hyeongji Kim P. Parviainen K. Malde 154 0 0 06 May 2020
Minimum-Norm Adversarial Examples on KNN and KNN-Based Models Chawin Sitawarin David Wagner AAML 142 21 0 14 Mar 2020
Colored Noise Injection for Training Adversarially Robust Neural Networks Evgenii Zheltonozhskii Chaim Baskin Yaniv Nemcovsky Brian Chmiel A. Mendelson A. Bronstein AAML 141 5 0 04 Mar 2020
Smoothed Inference for Adversarially-Trained Models Yaniv Nemcovsky Evgenii Zheltonozhskii Chaim Baskin Brian Chmiel Maxim Fishman A. Bronstein A. Mendelson AAML FedML 143 2 0 17 Nov 2019
Adaptive versus Standard Descent Methods and Robustness Against Adversarial Examples Marc Khoury AAML 192 1 0 09 Nov 2019
Defending Against Adversarial Examples with K-Nearest Neighbor Chawin Sitawarin David Wagner AAML 174 29 0 23 Jun 2019
Robustness for Non-Parametric Classification: A Generic Attack and DefenseInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 Yao-Yuan Yang Cyrus Rashtchian Yizhen Wang Kamalika Chaudhuri SILM AAML 240 44 0 07 Jun 2019