Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks

31 January 2023

Papers citing "Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks"

34 / 34 papers shown

Title
Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches Zhiyuan Cheng James Liang Hongjun Choi Guanhong Tao Zhiwen Cao Dongfang Liu Xiangyu Zhang AAML MDE 37 83 0 11 Jul 2022
Adversarial Training Helps Transfer Learning via Better Representations Zhun Deng Linjun Zhang Kailas Vodrahalli Kenji Kawaguchi James Zou GAN 61 54 0 18 Jun 2021
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks Yulong Cao* Ningfei Wang* Chaowei Xiao Dawei Yang Jin Fang Ruigang Yang Qi Alfred Chen Mingyan D. Liu Yue Liu AAML 59 221 0 17 Jun 2021
Single Image Depth Prediction with Wavelet Decomposition Michael Ramamonjisoa Michael Firman Jamie Watson Vincent Lepetit Daniyar Turmukhambetov MDE 65 55 0 03 Jun 2021
SG-Net: Spatial Granularity Network for One-Stage Video Instance Segmentation Dongfang Liu Yiming Cui Wenbo Tan Yingjie Chen 64 132 0 18 Mar 2021
MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera Felix Wimbauer Nan Yang Lukas von Stumberg Niclas Zeller Daniel Cremers MDE 37 86 0 24 Nov 2020
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 229 4,036 0 20 Nov 2020
LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization Lukas von Stumberg Patrick Wenzel Nan Yang Daniel Cremers 48 34 0 13 Oct 2020
Learning Monocular Visual Odometry via Self-Supervised Long-Term Modeling Yuliang Zou Pan Ji Quoc-Huy Tran Jia-Bin Huang Manmohan Chandraker SSL 93 67 0 21 Jul 2020
Targeted Adversarial Perturbations for Monocular Depth Prediction A. Wong Safa Cicek Stefano Soatto AAML MDE 37 43 0 12 Jun 2020
Monocular Depth Estimators: Vulnerabilities and Attacks Alwyn Mathew Aditya Patra Jimson Mathew AAML MDE 37 9 0 28 May 2020
Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction Lokender Tiwari Pan Ji Quoc-Huy Tran Bingbing Zhuang Saket Anand Manmohan Chandraker MDE 48 64 0 22 Apr 2020
Physically Realizable Adversarial Examples for LiDAR Object Detection James Tu Mengye Ren S. Manivasagam Ming Liang Binh Yang Richard Du Frank Cheng R. Urtasun 3DPC 56 238 0 01 Apr 2020
Adversarial Attacks on Monocular Depth Estimation Ziqi Zhang Xinge Zhu Yingwei Li Xiangqun Chen Yao Guo AAML MDE 57 25 0 23 Mar 2020
Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation Xiaogang Xu Hengshuang Zhao Jiaya Jia AAML 32 38 0 14 Mar 2020
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks Francesco Croce Matthias Hein AAML 209 1,835 0 03 Mar 2020
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry Nan Yang Lukas von Stumberg Rui Wang Daniel Cremers MDE 71 375 0 02 Mar 2020
Self-Supervised Learning of Pretext-Invariant Representations Ishan Misra Laurens van der Maaten SSL VLM 90 1,451 0 04 Dec 2019
Square Attack: a query-efficient black-box adversarial attack via random search Maksym Andriushchenko Francesco Croce Nicolas Flammarion Matthias Hein AAML 65 983 0 29 Nov 2019
Analysis of Deep Networks for Monocular Depth Estimation Through Adversarial Attacks with Proposal of a Defense Method Junjie Hu Takayuki Okatani AAML MDE 57 15 0 20 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 149 12,050 0 13 Nov 2019
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors Zuxuan Wu Ser-Nam Lim L. Davis Tom Goldstein AAML 111 264 0 31 Oct 2019
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video Jiawang Bian Zhichao Li Naiyan Wang Huangying Zhan Chunhua Shen Ming-Ming Cheng Ian Reid MDE 67 509 0 28 Aug 2019
Towards Adversarially Robust Object Detection Haichao Zhang Jianyu Wang AAML ObjD 96 130 0 24 Jul 2019
Contrastive Multiview Coding Yonglong Tian Dilip Krishnan Phillip Isola SSL 149 2,395 0 13 Jun 2019
Unlabeled Data Improves Adversarial Robustness Y. Carmon Aditi Raghunathan Ludwig Schmidt Percy Liang John C. Duchi 119 752 0 31 May 2019
Are Labels Required for Improving Adversarial Robustness? J. Uesato Jean-Baptiste Alayrac Po-Sen Huang Robert Stanforth Alhussein Fawzi Pushmeet Kohli AAML 68 333 0 31 May 2019
Recurrent Neural Network for (Un-)supervised Learning of Monocular VideoVisual Odometry and Depth Rui Wang Stephen M. Pizer Jan-Michael Frahm MDE 49 177 0 15 Apr 2019
Unsupervised Embedding Learning via Invariant and Spreading Instance Feature Mang Ye Xu-Yao Zhang PongChi Yuen Shih-Fu Chang SSL 72 581 0 06 Apr 2019
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose Zhichao Yin Jianping Shi MDE 41 1,141 0 06 Mar 2018
Adversarial Patch Tom B. Brown Dandelion Mané Aurko Roy Martín Abadi Justin Gilmer AAML 70 1,094 0 27 Dec 2017
On the Robustness of Semantic Segmentation Models to Adversarial Attacks Anurag Arnab O. Mikšík Philip Torr AAML 71 308 0 27 Nov 2017
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 212 8,533 0 16 Aug 2016
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 227 14,893 1 21 Dec 2013