Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion
based Perception in Autonomous Driving Under Physical-World Attacks

Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks

17 June 2021

Yulong Cao*

Ningfei Wang*

Qi Alfred Chen

ArXiv (abs)PDF HTML

Papers citing "Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks"

17 / 67 papers shown

Title
Neural 3D Mesh Renderer Hiroharu Kato Yoshitaka Ushiku Tatsuya Harada 3DV 75 1,046 0 20 Nov 2017
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection Yin Zhou Oncel Tuzel 3DPC 118 3,731 0 17 Nov 2017
DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars Yuchi Tian Kexin Pei Suman Jana Baishakhi Ray AAML 70 1,360 0 28 Aug 2017
Deep Steering: Learning End-to-End Driving Model from Spatial and Temporal Visual Cues Lu Chi Yadong Mu LLMSV 49 110 0 12 Aug 2017
Laplacian-Steered Neural Style Transfer Shaohua Li Xinxing Xu Liqiang Nie Tat-Seng Chua 46 100 0 05 Jul 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 317 12,138 0 19 Jun 2017
MagNet: a Two-Pronged Defense against Adversarial Examples Dongyu Meng Hao Chen AAML 50 1,208 0 25 May 2017
DeepXplore: Automated Whitebox Testing of Deep Learning Systems Kexin Pei Yinzhi Cao Junfeng Yang Suman Jana AAML 105 1,371 0 18 May 2017
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks Weilin Xu David Evans Yanjun Qi AAML 89 1,271 0 04 Apr 2017
Multi-View 3D Object Detection Network for Autonomous Driving Xiaozhi Chen Huimin Ma Ji Wan Bo Li Tian Xia 3DPC 202 2,781 0 23 Nov 2016
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks Martin Engelcke Dushyant Rao Dominic Zeng Wang Chi Hay Tong Ingmar Posner 3DPC 253 522 0 21 Sep 2016
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 282 8,583 0 16 Aug 2016
A study of the effect of JPG compression on adversarial images Gintare Karolina Dziugaite Zoubin Ghahramani Daniel M. Roy AAML 94 534 0 02 Aug 2016
The Limitations of Deep Learning in Adversarial Settings Nicolas Papernot Patrick McDaniel S. Jha Matt Fredrikson Z. Berkay Celik A. Swami AAML 115 3,967 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
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,121 0 20 Dec 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 284 14,963 1 21 Dec 2013

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