Adversarial Attacks on Monocular Depth Estimation

23 March 2020

Xinge Zhu

Papers citing "Adversarial Attacks on Monocular Depth Estimation"

46 / 46 papers shown

Title
Analysis of Deep Networks for Monocular Depth Estimation Through Adversarial Attacks with Proposal of a Defense Method Junjie Hu Takayuki Okatani AAML MDE 45 15 0 20 Nov 2019
Depth Completion from Sparse LiDAR Data with Depth-Normal Constraints Yan Xu Xinge Zhu Jianping Shi Guofeng Zhang Hujun Bao Hongsheng Li 3DV 32 226 0 15 Oct 2019
How do neural networks see depth in single images? T. V. Dijk Guido de Croon VLM MDE 39 198 0 16 May 2019
Universal Adversarial Training A. Mendrik Mahyar Najibi Zheng Xu John P. Dickerson L. Davis Tom Goldstein AAML OOD 51 190 0 27 Nov 2018
TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents Sungwon Kim Sang-gil Lee Sibo Zhang Ruigang Yang Jaehyeon Kim Tianyi Zhou 55 419 0 06 Nov 2018
Low Frequency Adversarial Perturbation Chuan Guo Jared S. Frank Kilian Q. Weinberger AAML 46 166 0 24 Sep 2018
Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation Xinge Zhu Hui Zhou Ceyuan Yang Jianping Shi Dahua Lin 31 104 0 04 Sep 2018
Deep Ordinal Regression Network for Monocular Depth Estimation Huan Fu Biwei Huang Chaohui Wang Kayhan Batmanghelich Dacheng Tao MDE 253 1,718 0 06 Jun 2018
Robustness May Be at Odds with Accuracy Dimitris Tsipras Shibani Santurkar Logan Engstrom Alexander Turner Aleksander Madry AAML 58 1,772 0 30 May 2018
PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing Dan Xu Wanli Ouyang Xiaogang Wang N. Sebe MoE 39 476 0 11 May 2018
Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation Dan Xu Wei Wang Hao Tang Hong Liu N. Sebe Elisa Ricci MDE 34 305 0 29 Mar 2018
Improving Transferability of Adversarial Examples with Input Diversity Cihang Xie Zhishuai Zhang Yuyin Zhou Song Bai Jianyu Wang Zhou Ren Alan Yuille AAML 68 1,108 0 19 Mar 2018
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples Anish Athalye Nicholas Carlini D. Wagner AAML 149 3,171 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 94 893 0 08 Jan 2018
Generative Adversarial Perturbations Omid Poursaeed Isay Katsman Bicheng Gao Serge J. Belongie AAML GAN WIGM 53 353 0 06 Dec 2017
On the Robustness of Semantic Segmentation Models to Adversarial Attacks Anurag Arnab O. Mikšík Philip Torr AAML 50 305 0 27 Nov 2017
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks Zhao Chen Vijay Badrinarayanan Chen-Yu Lee Andrew Rabinovich ODL 89 1,272 0 07 Nov 2017
Certifying Some Distributional Robustness with Principled Adversarial Training Aman Sinha Hongseok Namkoong Riccardo Volpi John C. Duchi OOD 71 858 0 29 Oct 2017
Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image Fangchang Ma S. Karaman MDE 3DV 78 584 0 21 Sep 2017
Sparsity Invariant CNNs J. Uhrig N. Schneider Lukas Schneider Uwe Franke Thomas Brox Andreas Geiger 99 825 0 22 Aug 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 46 1,864 0 14 Aug 2017
Fast Feature Fool: A data independent approach to universal adversarial perturbations Konda Reddy Mopuri Utsav Garg R. Venkatesh Babu AAML 61 206 0 18 Jul 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 188 11,962 0 19 Jun 2017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods Nicholas Carlini D. Wagner AAML 92 1,851 0 20 May 2017
Universal Adversarial Perturbations Against Semantic Image Segmentation J. H. Metzen Mummadi Chaithanya Kumar Thomas Brox Volker Fischer AAML 111 287 0 19 Apr 2017
Mask R-CNN Kaiming He Georgia Gkioxari Piotr Dollár Ross B. Girshick ObjD 232 27,018 0 20 Mar 2017
Semi-Supervised Deep Learning for Monocular Depth Map Prediction Yevhen Kuznietsov J. Stückler Bastian Leibe MDE SSL 81 669 0 09 Feb 2017
Pyramid Scene Parsing Network Hengshuang Zhao Jianping Shi Xiaojuan Qi Xiaogang Wang Jiaya Jia VOS SSeg 263 11,941 0 04 Dec 2016
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 440 3,124 0 04 Nov 2016
Universal adversarial perturbations Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi Omar Fawzi P. Frossard AAML 102 2,520 0 26 Oct 2016
UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory Iasonas Kokkinos SSeg SSL 98 672 0 07 Sep 2016
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 149 8,497 0 16 Aug 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 480 5,868 0 08 Jul 2016
Deeper Depth Prediction with Fully Convolutional Residual Networks Iro Laina Christian Rupprecht Vasileios Belagiannis Federico Tombari Nassir Navab 3DV MDE 150 1,823 0 01 Jun 2016
Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks Junyuan Xie Ross B. Girshick Ali Farhadi 3DH 53 427 0 13 Apr 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 522 11,540 0 06 Apr 2016
Unified Depth Prediction and Intrinsic Image Decomposition from a Single Image via Joint Convolutional Neural Fields Seungryong Kim Kihong Park Kwanghoon Sohn Stephen Lin MDE 31 109 0 21 Mar 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems Martín Abadi Ashish Agarwal P. Barham E. Brevdo Zhiwen Chen ... Pete Warden Martin Wattenberg Martin Wicke Yuan Yu Xiaoqiang Zheng 147 11,135 0 14 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.1K 192,638 0 10 Dec 2015
Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields Fayao Liu Chunhua Shen Guosheng Lin Ian Reid MDE 77 1,196 0 26 Feb 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 130 18,922 0 20 Dec 2014
Deep Convolutional Neural Fields for Depth Estimation from a Single Image Fayao Liu Chunhua Shen Guosheng Lin MDE 98 890 0 24 Nov 2014
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture David Eigen Rob Fergus VLM MDE 112 2,674 0 18 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 709 99,991 0 04 Sep 2014
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network David Eigen Christian Puhrsch Rob Fergus MDE 3DPC 3DV 117 4,037 0 09 Jun 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 111 14,831 1 21 Dec 2013