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Adversarial Training with Voronoi Constraints

Adversarial Training with Voronoi Constraints

2 May 2019
Marc Khoury
Dylan Hadfield-Menell
    AAML
ArXiv (abs)PDFHTML

Papers citing "Adversarial Training with Voronoi Constraints"

12 / 12 papers shown
Title
Automated Repair of Neural Networks
Automated Repair of Neural Networks
Dor Cohen
O. Strichman
KELMNAIAAML
79
4
0
17 Jul 2022
Improved Search of Relevant Points for Nearest-Neighbor Classification
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
On the (Un-)Avoidability of Adversarial Examples
Sadia Chowdhury
Ruth Urner
AAML
130
1
0
24 Jun 2021
Universal Spectral Adversarial Attacks for Deformable Shapes
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
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
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
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
Colored Noise Injection for Training Adversarially Robust Neural Networks
Evgenii Zheltonozhskii
Chaim Baskin
Yaniv Nemcovsky
Brian Chmiel
A. Mendelson
A. Bronstein
AAML
149
5
0
04 Mar 2020
Smoothed Inference for Adversarially-Trained Models
Smoothed Inference for Adversarially-Trained Models
Yaniv Nemcovsky
Evgenii Zheltonozhskii
Chaim Baskin
Brian Chmiel
Maxim Fishman
A. Bronstein
A. Mendelson
AAMLFedML
143
2
0
17 Nov 2019
Adaptive versus Standard Descent Methods and Robustness Against
  Adversarial Examples
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
182
29
0
23 Jun 2019
Robustness for Non-Parametric Classification: A Generic Attack and
  Defense
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
SILMAAML
240
44
0
07 Jun 2019
1