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Indirect Local Attacks for Context-aware Semantic Segmentation Networks

29 November 2019

Papers citing "Indirect Local Attacks for Context-aware Semantic Segmentation Networks"

45 / 45 papers shown

Title
Benchmarking the Spatial Robustness of DNNs via Natural and Adversarial Localized Corruptions Giulia Marchiori Pietrosanti Giulio Rossolini Alessandro Biondi Giorgio Buttazzo AAML 305 0 0 02 Apr 2025
Attacking Optical Flow Anurag Ranjan J. Janai Andreas Geiger Michael J. Black AAML 3DPC 72 87 0 22 Oct 2019
Fooling automated surveillance cameras: adversarial patches to attack person detection Simen Thys W. V. Ranst Toon Goedemé AAML 107 570 0 18 Apr 2019
Detecting the Unexpected via Image Resynthesis Krzysztof Lis Krishna Kanth Nakka Pascal Fua Mathieu Salzmann UQCV 57 178 0 16 Apr 2019
advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorch G. Ding Luyu Wang Xiaomeng Jin 72 183 0 20 Feb 2019
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation Chaowei Xiao Ruizhi Deng Yue Liu Feng Yu M. Liu Basel Alomair AAML 50 99 0 11 Oct 2018
Dual Attention Network for Scene Segmentation J. Fu Qingbin Liu Haijie Tian Yong Li Yongjun Bao Zhiwei Fang Hanqing Lu SSeg 324 5,114 0 09 Sep 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 194 2,063 0 10 Jul 2018
DPatch: An Adversarial Patch Attack on Object Detectors Xin Liu Huanrui Yang Ziwei Liu Linghao Song Hai Helen Li Yiran Chen AAML ObjD 62 293 0 05 Jun 2018
Context Encoding for Semantic Segmentation Hang Zhang Kristin J. Dana Jianping Shi Zhongyue Zhang Xiaogang Wang A. Tyagi Amit Agrawal SSeg 99 1,252 0 23 Mar 2018
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples Anish Athalye Nicholas Carlini D. Wagner AAML 243 3,194 0 01 Feb 2018
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality Xingjun Ma Yue Liu Yisen Wang S. Erfani S. Wijewickrema Grant Schoenebeck Basel Alomair Michael E. Houle James Bailey AAML 114 742 0 08 Jan 2018
Adversarial Patch Tom B. Brown Dandelion Mané Aurko Roy Martín Abadi Justin Gilmer AAML 91 1,097 0 27 Dec 2017
Generative Adversarial Perturbations Omid Poursaeed Isay Katsman Bicheng Gao Serge J. Belongie AAML GAN WIGM 82 356 0 06 Dec 2017
On the Robustness of Semantic Segmentation Models to Adversarial Attacks Anurag Arnab O. Mikšík Philip Torr AAML 100 307 0 27 Nov 2017
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models Pin-Yu Chen Huan Zhang Yash Sharma Jinfeng Yi Cho-Jui Hsieh AAML 90 1,887 0 14 Aug 2017
NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles Jiajun Lu Hussein Sibai Evan Fabry David A. Forsyth AAML 90 282 0 12 Jul 2017
Dilated Residual Networks Feng Yu V. Koltun Thomas Funkhouser MedIm 131 1,621 0 28 May 2017
Robustness of classifiers to universal perturbations: a geometric perspective Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi Omar Fawzi P. Frossard Stefano Soatto AAML 79 118 0 26 May 2017
Ensemble Adversarial Training: Attacks and Defenses Florian Tramèr Alexey Kurakin Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel AAML 177 2,729 0 19 May 2017
Universal Adversarial Perturbations Against Semantic Image Segmentation J. H. Metzen Mummadi Chaithanya Kumar Thomas Brox Volker Fischer AAML 154 287 0 19 Apr 2017
Adversarial Examples for Semantic Segmentation and Object Detection Cihang Xie Jianyu Wang Zhishuai Zhang Yuyin Zhou Lingxi Xie Alan Yuille GAN AAML 111 934 0 24 Mar 2017
Pyramid Scene Parsing Network Hengshuang Zhao Jianping Shi Xiaojuan Qi Xiaogang Wang Jiaya Jia VOS SSeg 665 12,035 0 04 Dec 2016
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 335 19,697 0 21 Nov 2016
Learning the Number of Neurons in Deep Networks J. Álvarez Mathieu Salzmann 206 414 0 19 Nov 2016
Delving into Transferable Adversarial Examples and Black-box Attacks Yanpei Liu Xinyun Chen Chang-rui Liu Basel Alomair AAML 143 1,741 0 08 Nov 2016
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 477 3,148 0 04 Nov 2016
Universal adversarial perturbations Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi Omar Fawzi P. Frossard AAML 154 2,533 0 26 Oct 2016
Stealing Machine Learning Models via Prediction APIs Florian Tramèr Fan Zhang Ari Juels Michael K. Reiter Thomas Ristenpart SILM MLAU 109 1,811 0 09 Sep 2016
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 282 8,587 0 16 Aug 2016
Learning Structured Sparsity in Deep Neural Networks W. Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 189 2,341 0 12 Aug 2016
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples Nicolas Papernot Patrick McDaniel Ian Goodfellow SILM AAML 116 1,742 0 24 May 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 755 37,895 0 20 May 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 1.1K 11,654 0 06 Apr 2016
Practical Black-Box Attacks against Machine Learning Nicolas Papernot Patrick McDaniel Ian Goodfellow S. Jha Z. Berkay Celik A. Swami MLAU AAML 85 3,685 0 08 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,510 0 10 Dec 2015
The Limitations of Deep Learning in Adversarial Settings Nicolas Papernot Patrick McDaniel S. Jha Matt Fredrikson Z. Berkay Celik A. Swami AAML 117 3,968 0 24 Nov 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
ParseNet: Looking Wider to See Better Wei Liu Andrew Rabinovich Alexander C. Berg SSeg 139 1,214 0 15 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.9K 77,441 0 18 May 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
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
Hypercolumns for Object Segmentation and Fine-grained Localization Bharath Hariharan Pablo Arbeláez Ross B. Girshick Jitendra Malik SSeg 147 1,595 0 21 Nov 2014
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials Philipp Krahenbuhl V. Koltun 132 3,459 0 20 Oct 2012