On Robustness of Lane Detection Models to Physical-World Adversarial
Attacks in Autonomous Driving

On Robustness of Lane Detection Models to Physical-World Adversarial Attacks in Autonomous Driving

6 July 2021

Qi Alfred Chen

Papers citing "On Robustness of Lane Detection Models to Physical-World Adversarial Attacks in Autonomous Driving"

9 / 9 papers shown

Title
Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection Lucas Tabelini Rodrigo Berriel T. M. Paixão C. Badue Alberto F. de Souza Thiago Oliveira-Santos 81 334 0 22 Oct 2020
RESA: Recurrent Feature-Shift Aggregator for Lane Detection Tu Zheng Haoyang Fang Yi Zhang Wenjian Tang Zheng Yang Haifeng Liu Deng Cai 100 259 0 31 Aug 2020
Ultra Fast Structure-aware Deep Lane Detection Zequn Qin Huanyu Wang Xi Li 29 416 0 24 Apr 2020
On Adaptive Attacks to Adversarial Example Defenses Florian Tramèr Nicholas Carlini Wieland Brendel Aleksander Madry AAML 190 827 0 19 Feb 2020
Learning Lightweight Lane Detection CNNs by Self Attention Distillation Yuenan Hou Zheng Ma Chunxiao Liu Chen Change Loy 43 552 0 02 Aug 2019
DeepBillboard: Systematic Physical-World Testing of Autonomous Driving Systems Husheng Zhou Wei Li Yuankun Zhu Yuqun Zhang Bei Yu Lingming Zhang Cong Liu AAML 53 176 0 27 Dec 2018
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector Shang-Tse Chen Cory Cornelius Jason Martin Duen Horng Chau ObjD 185 425 0 16 Apr 2018
Adversarial Patch Tom B. Brown Dandelion Mané Aurko Roy Martín Abadi Justin Gilmer AAML 57 1,093 0 27 Dec 2017
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 185 14,831 1 21 Dec 2013