Addressing Neural Network Robustness with Mixup and Targeted Labeling Adversarial Training

19 August 2020

Papers citing "Addressing Neural Network Robustness with Mixup and Targeted Labeling Adversarial Training"

8 / 8 papers shown

Title
Exploiting Frequency Spectrum of Adversarial Images for General Robustness Chun Yang Tan K. Kawamoto Hiroshi Kera AAML OOD 26 1 0 15 May 2023
Robustmix: Improving Robustness by Regularizing the Frequency Bias of Deep Nets Jonas Ngnawé Marianne Abémgnigni Njifon Jonathan Heek Yann N. Dauphin OOD 16 4 0 06 Apr 2023
Game-Theoretic Understanding of Misclassification Kosuke Sumiyasu K. Kawamoto Hiroshi Kera 34 1 0 07 Oct 2022
A Systematic Review of Robustness in Deep Learning for Computer Vision: Mind the gap? Nathan G. Drenkow Numair Sani I. Shpitser Mathias Unberath 19 74 0 01 Dec 2021
Guided Interpolation for Adversarial Training Chen Chen Jingfeng Zhang Xilie Xu Tianlei Hu Gang Niu Gang Chen Masashi Sugiyama AAML 22 10 0 15 Feb 2021
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,216 0 16 Nov 2016
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,109 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,835 0 08 Jul 2016