Attacking Vision-based Perception in End-to-End Autonomous Driving Models

2 October 2019

Karthik Garimella

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Papers citing "Attacking Vision-based Perception in End-to-End Autonomous Driving Models"

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Title
Challenger: Affordable Adversarial Driving Video Generation Zhiyuan Xu Bohan Li Huan-ang Gao Mingju Gao Yong Chen Ming-Yuan Liu Chenxu Yan Hang Zhao Shuo Feng Hao Zhao AAML VGen 256 2 0 21 May 2025
PCLA: A Framework for Testing Autonomous Agents in the CARLA Simulator Masoud Jamshidiyan Tehrani Jinhan Kim Paolo Tonella 461 0 0 12 Mar 2025
Position: A taxonomy for reporting and describing AI security incidents L. Bieringer Kevin Paeth Andreas Wespi Kathrin Grosse Alexandre Alahi Kathrin Grosse 137 0 0 19 Dec 2024
Scalable Surrogate Verification of Image-based Neural Network Control Systems using Composition and Unrolling Feiyang Cai Chuchu Fan Stanley Bak 110 6 0 28 May 2024
Requirements-driven Test Generation for Autonomous Vehicles with Machine Learning Components Cumhur Erkan Tuncali Georgios Fainekos Danil Prokhorov Hisahiro Ito J. Kapinski 50 106 0 02 Aug 2019
Key Ingredients of Self-Driving Cars Rui Fan Jianhao Jiao Haoyang Ye Yang Yu Ioannis Pitas Ming-Yuan Liu 109 29 0 07 Jun 2019
Are Self-Driving Cars Secure? Evasion Attacks against Deep Neural Networks for Steering Angle Prediction Alesia Chernikova Alina Oprea Cristina Nita-Rotaru Baekgyu Kim AAML 32 72 0 15 Apr 2019
Simple Physical Adversarial Examples against End-to-End Autonomous Driving Models Adith Boloor Xin He C. Gill Yevgeniy Vorobeychik Xuan Zhang AAML 45 76 0 12 Mar 2019
Baidu Apollo EM Motion Planner Haoyang Fan Fan Zhu Changchun Liu Liangliang Zhang Li Zhuang Dong Li Weicheng Zhu Jiangtao Hu Hongye Li Qi Kong 61 305 0 20 Jul 2018
A Tutorial on Bayesian Optimization P. Frazier GP 109 1,788 0 08 Jul 2018
Towards Autonomous Reinforcement Learning: Automatic Setting of Hyper-parameters using Bayesian Optimization Juan Cruz Barsce J. Palombarini E. Martínez GP 53 33 0 12 May 2018
Semantic Adversarial Deep Learning Sanjit A. Seshia S. Jha T. Dreossi AAML SILM 48 91 0 19 Apr 2018
Simulation-based Adversarial Test Generation for Autonomous Vehicles with Machine Learning Components Cumhur Erkan Tuncali Georgios Fainekos Hisahiro Ito J. Kapinski 49 183 0 18 Apr 2018
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction Huangying Zhan Ravi Garg C. Weerasekera Kejie Li Harsh Agarwal Ian Reid MDE 53 633 0 11 Mar 2018
Global overview of Imitation Learning Alexandre Attia Sharone Dayan 57 73 0 19 Jan 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey Naveed Akhtar Ajmal Mian AAML 97 1,867 0 02 Jan 2018
CARLA: An Open Urban Driving Simulator Alexey Dosovitskiy G. Ros Felipe Codevilla Antonio M. López V. Koltun VLM 135 5,173 0 10 Nov 2017
End-to-end Driving via Conditional Imitation Learning Felipe Codevilla Matthias Muller Antonio M. López V. Koltun Alexey Dosovitskiy 131 1,066 0 06 Oct 2017
DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars Yuchi Tian Kexin Pei Suman Jana Baishakhi Ray AAML 64 1,359 0 28 Aug 2017
Robust Physical-World Attacks on Deep Learning Models Kevin Eykholt Ivan Evtimov Earlence Fernandes Yue Liu Amir Rahmati Chaowei Xiao Atul Prakash Tadayoshi Kohno Basel Alomair AAML 57 595 0 27 Jul 2017
NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles Jiajun Lu Hussein Sibai Evan Fabry David A. Forsyth AAML 84 281 0 12 Jul 2017
AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles S. Shah Debadeepta Dey Chris Lovett Ashish Kapoor 94 1,998 0 15 May 2017
Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car Mariusz Bojarski Philip Yeres A. Choromańska K. Choromanski Bernhard Firner L. Jackel Urs Muller 79 401 0 25 Apr 2017
Semi-Supervised Deep Learning for Monocular Depth Map Prediction Yevhen Kuznietsov J. Stückler Bastian Leibe MDE SSL 147 671 0 09 Feb 2017
End-to-end Learning of Driving Models from Large-scale Video Datasets Huazhe Xu Yang Gao Feng Yu Trevor Darrell 150 826 0 04 Dec 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 223 5,077 0 05 Jun 2016
Query-Efficient Imitation Learning for End-to-End Autonomous Driving Jiakai Zhang Kyunghyun Cho 163 215 0 20 May 2016
End to End Learning for Self-Driving Cars Mariusz Bojarski D. Testa Daniel Dworakowski Bernhard Firner B. Flepp ... Urs Muller Jiakai Zhang Xin Zhang Jake Zhao Karol Zieba SSL 100 4,170 0 25 Apr 2016
The Limitations of Deep Learning in Adversarial Settings Nicolas Papernot Patrick McDaniel S. Jha Matt Fredrikson Z. Berkay Celik A. Swami AAML 112 3,962 0 24 Nov 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 1.1K 15,802 0 02 Nov 2015
You Only Look Once: Unified, Real-Time Object Detection Joseph Redmon S. Divvala Ross B. Girshick Ali Farhadi ObjD 705 36,958 0 08 Jun 2015
Scalable Bayesian Optimization Using Deep Neural Networks Jasper Snoek Oren Rippel Kevin Swersky Ryan Kiros N. Satish N. Sundaram Md. Mostofa Ali Patwary P. Prabhat Ryan P. Adams BDL UQCV 95 1,043 0 19 Feb 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 277 19,066 0 20 Dec 2014
Deep Convolutional Neural Fields for Depth Estimation from a Single Image Fayao Liu Chunhua Shen Guosheng Lin MDE 180 891 0 24 Nov 2014
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network David Eigen Christian Puhrsch Rob Fergus MDE 3DPC 3DV 239 4,059 0 09 Jun 2014
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 595 15,893 0 12 Nov 2013
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning E. Brochu Vlad M. Cora Nando de Freitas GP 138 2,448 0 12 Dec 2010