Fuzzy Unique Image Transformation: Defense Against Adversarial Attacks On Deep COVID-19 Models

8 September 2020

Papers citing "Fuzzy Unique Image Transformation: Defense Against Adversarial Attacks On Deep COVID-19 Models"

29 / 29 papers shown

Title
4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection Asmaa Abbas M. Abdelsamea M. Gaber OOD ViT 59 64 0 26 Jun 2020
COVID-19 Image Data Collection: Prospective Predictions Are the Future Joseph Paul Cohen Paul Morrison Lan Dao Karsten Roth T. Duong Marzyeh Ghassemi 84 781 0 22 Jun 2020
Vulnerability of deep neural networks for detecting COVID-19 cases from chest X-ray images to universal adversarial attacks Hokuto Hirano K. Koga Kazuhiro Takemoto AAML 112 49 0 22 May 2020
Multi-Channel Transfer Learning of Chest X-ray Images for Screening of COVID-19 Sampa Misra Seungwan Jeon Seiyon Lee R. Managuli Chulhong Kim 53 81 0 12 May 2020
CovidAID: COVID-19 Detection Using Chest X-Ray Arpan Mangal Surya Kalia Harish Rajgopal K. Rangarajan Vinay P. Namboodiri Subhashis Banerjee Chetan Arora OOD 40 149 0 21 Apr 2020
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation Yu-Huan Wu Shanghua Gao Jie Mei Jun Xu Deng-Ping Fan Chao Zhao Ming-Ming Cheng 65 380 0 15 Apr 2020
CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images Asif Iqbal Khan Junaid Latief Shah M. Bhat 56 1,082 0 10 Apr 2020
DeepCOVIDExplainer: Explainable COVID-19 Diagnosis Based on Chest X-ray Images Md. Rezaul Karim Till Dohmen Dietrich-Rebholz Schuhmann Stefan Decker Michael Cochez Oya Beyan 63 88 0 09 Apr 2020
COVID-CT-Dataset: A CT Scan Dataset about COVID-19 Xingyi Yang Xuehai He Jinyu Zhao Yichen Zhang Shanghang Zhang P. Xie 97 848 0 30 Mar 2020
Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks Ioannis D. Apostolopoulos Tzani Bessiana 75 1,916 0 25 Mar 2020
COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images E. E. Hemdan M. Shouman Mohamed E. Karar 151 1,018 0 24 Mar 2020
Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images and Deep Convolutional Neural Networks A. Narin Ceren Kaya Ziynet Pamuk 133 1,770 0 24 Mar 2020
COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images Linda Wang A. Wong OOD 136 2,505 0 22 Mar 2020
Detecting Adversarial Examples via Key-based Network Pinlong Zhao Zhouyu Fu Ou Wu Q. Hu Jun Wang AAML GAN 40 8 0 02 Jun 2018
The Effectiveness of Data Augmentation in Image Classification using Deep Learning Luis Perez Jason Wang 84 2,793 0 13 Dec 2017
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning Battista Biggio Fabio Roli AAML 135 1,409 0 08 Dec 2017
Countering Adversarial Images using Input Transformations Chuan Guo Mayank Rana Moustapha Cissé Laurens van der Maaten AAML 128 1,406 0 31 Oct 2017
Evasion Attacks against Machine Learning at Test Time Battista Biggio Igino Corona Davide Maiorca B. Nelson Nedim Srndic Pavel Laskov Giorgio Giacinto Fabio Roli AAML 163 2,160 0 21 Aug 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 319 12,151 0 19 Jun 2017
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 282 8,587 0 16 Aug 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 547 5,912 0 08 Jul 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,510 0 10 Dec 2015
DeepFool: a simple and accurate method to fool deep neural networks Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi P. Frossard AAML 154 4,905 0 14 Nov 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,129 0 20 Dec 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 494 43,717 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,529 0 04 Sep 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 289 14,968 1 21 Dec 2013
Scalable Object Detection using Deep Neural Networks D. Erhan Christian Szegedy Alexander Toshev Dragomir Anguelov ObjD 120 1,166 0 08 Dec 2013