End-to-end Uncertainty-based Mitigation of Adversarial Attacks to
Automated Lane Centering

End-to-end Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane Centering

27 February 2021

Qi Alfred Chen

Papers citing "End-to-end Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane Centering"

6 / 6 papers shown

Title
Learning Representation for Anomaly Detection of Vehicle Trajectories Ruochen Jiao Juyang Bai Xiangguo Liu Takami Sato Xiao-Fang Yuan Qi Alfred Chen Qiuhan Zhu AI4TS AAML 35 14 0 09 Mar 2023
Semi-supervised Semantics-guided Adversarial Training for Trajectory Prediction Ruochen Jiao Xiangguo Liu Takami Sato Qi Alfred Chen Qi Zhu AAML 43 20 0 27 May 2022
Real-time Out-of-distribution Detection in Learning-Enabled Cyber-Physical Systems Feiyang Cai X. Koutsoukos OODD 121 75 0 28 Jan 2020
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector Shang-Tse Chen Cory Cornelius Jason Martin Duen Horng Chau ObjD 165 424 0 16 Apr 2018
Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and Challenges Mennatullah Siam Sara Elkerdawy Martin Jägersand S. Yogamani 124 166 0 08 Jul 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015