Improving Robustness of Deep-Learning-Based Image Reconstruction

26 February 2020

Papers citing "Improving Robustness of Deep-Learning-Based Image Reconstruction"

31 / 31 papers shown

Title
A Direct Approach to Robust Deep Learning Using Adversarial Networks Huaxia Wang Chun-Nam Yu GAN AAML OOD 71 77 0 23 May 2019
Evaluating Robustness of Deep Image Super-Resolution against Adversarial Attacks Jun-Ho Choi Huan Zhang Jun-Hyuk Kim Cho-Jui Hsieh Jong-Seok Lee AAML SupR 49 73 0 12 Apr 2019
Transform Learning for Magnetic Resonance Image Reconstruction: From Model-based Learning to Building Neural Networks Bihan Wen S. Ravishankar L. Pfister Y. Bresler MedIm 44 64 0 25 Mar 2019
On instabilities of deep learning in image reconstruction - Does AI come at a cost? Vegard Antun F. Renna C. Poon Ben Adcock A. Hansen 48 602 0 14 Feb 2019
Scaling provable adversarial defenses Eric Wong Frank R. Schmidt J. H. Metzen J. Zico Kolter AAML 76 446 0 31 May 2018
Adversarially Robust Generalization Requires More Data Ludwig Schmidt Shibani Santurkar Dimitris Tsipras Kunal Talwar Aleksander Madry OOD AAML 131 790 0 30 Apr 2018
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples Anish Athalye Nicholas Carlini D. Wagner AAML 205 3,184 0 01 Feb 2018
Generating Adversarial Examples with Adversarial Networks Chaowei Xiao Yue Liu Jun-Yan Zhu Warren He M. Liu D. Song GAN AAML 115 897 0 08 Jan 2018
On the Robustness of Semantic Segmentation Models to Adversarial Attacks Anurag Arnab O. Mikšík Philip Torr AAML 74 307 0 27 Nov 2017
Certifying Some Distributional Robustness with Principled Adversarial Training Aman Sinha Hongseok Namkoong Riccardo Volpi John C. Duchi OOD 125 863 0 29 Oct 2017
Robust Physical-World Attacks on Deep Learning Models Kevin Eykholt Ivan Evtimov Earlence Fernandes Yue Liu Amir Rahmati Chaowei Xiao Atul Prakash Tadayoshi Kohno D. Song AAML 50 595 0 27 Jul 2017
Houdini: Fooling Deep Structured Prediction Models Moustapha Cissé Yossi Adi Natalia Neverova Joseph Keshet AAML 48 272 0 17 Jul 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 287 12,060 0 19 Jun 2017
When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach Ding Liu Bihan Wen Xianming Liu Zhangyang Wang Thomas S. Huang VLM 45 215 0 14 Jun 2017
Ensemble Adversarial Training: Attacks and Defenses Florian Tramèr Alexey Kurakin Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel AAML 177 2,725 0 19 May 2017
Parseval Networks: Improving Robustness to Adversarial Examples Moustapha Cissé Piotr Bojanowski Edouard Grave Yann N. Dauphin Nicolas Usunier AAML 136 807 0 28 Apr 2017
Image reconstruction by domain transform manifold learning Bo Zhu Jeremiah Zhe Liu Bruce Rosen Matthew S. Rosen 91 1,532 0 28 Apr 2017
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks Weilin Xu David Evans Yanjun Qi AAML 72 1,266 0 04 Apr 2017
Learning a Variational Network for Reconstruction of Accelerated MRI Data Kerstin Hammernik Teresa Klatzer Erich Kobler M. Recht D. Sodickson Thomas Pock Florian Knoll 48 1,540 0 03 Apr 2017
One Network to Solve Them All --- Solving Linear Inverse Problems using Deep Projection Models Jen-Hao Rick Chang Chun-Liang Li Barnabás Póczós B. Kumar Aswin C. Sankaranarayanan 54 348 0 29 Mar 2017
Compressed Sensing using Generative Models Ashish Bora A. Jalal Eric Price A. Dimakis 147 810 0 09 Mar 2017
A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction Jo Schlemper Jose Caballero Joseph V. Hajnal Anthony N. Price Daniel Rueckert 104 348 0 01 Mar 2017
DR2-Net: Deep Residual Reconstruction Network for Image Compressive Sensing Hantao Yao Feng Dai Dongming Zhang Yike Ma Shiliang Zhang Yongdong Zhang Qi Tian 49 308 0 19 Feb 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 166 4,824 0 26 Jan 2017
EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis Mehdi S. M. Sajjadi Bernhard Schölkopf M. Hirsch SupR 68 971 0 23 Dec 2016
Deep Convolutional Neural Network for Inverse Problems in Imaging Kyong Hwan Jin Michael T. McCann Emmanuel Froustey M. Unser 68 2,118 0 11 Nov 2016
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 467 3,140 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 517 5,897 0 08 Jul 2016
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 230 8,401 0 28 Nov 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 257 14,912 1 21 Dec 2013
Image Deblurring and Super-resolution by Adaptive Sparse Domain Selection and Adaptive Regularization W. Dong Lei Zhang Guangming Shi Xiaolin Wu 92 1,354 0 06 Dec 2010