Outlier Detection through Null Space Analysis of Neural Networks

2 July 2020

Papers citing "Outlier Detection through Null Space Analysis of Neural Networks"

7 / 7 papers shown

Title
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection Yingwen Wu Ruiji Yu Xinwen Cheng Zhengbao He Xiaolin Huang OODD 109 4 0 28 May 2024
PyOD: A Python Toolbox for Scalable Outlier Detection Yue Zhao Zain Nasrullah Zheng Li 100 724 0 06 Jan 2019
Wide Residual Networks Sergey Zagoruyko N. Komodakis 362 8,005 0 23 May 2016
DeepFool: a simple and accurate method to fool deep neural networks Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi P. Frossard AAML 154 4,910 0 14 Nov 2015
Analysis of classifiers' robustness to adversarial perturbations Alhussein Fawzi Omar Fawzi P. Frossard AAML 103 361 0 09 Feb 2015
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images Anh Totti Nguyen J. Yosinski Jeff Clune AAML 174 3,275 0 05 Dec 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 293 14,968 1 21 Dec 2013