Adversarial Robustness of Deep Sensor Fusion Models

Adversarial Robustness of Deep Sensor Fusion Models

23 June 2020

Ayan Chakrabarti

Yevgeniy Vorobeychik

Papers citing "Adversarial Robustness of Deep Sensor Fusion Models"

8 / 8 papers shown

Title
Towards Robust LiDAR-based Perception in Autonomous Driving: General Black-box Adversarial Sensor Attack and Countermeasures Jiachen Sun Yulong Cao Qi Alfred Chen Z. Morley Mao AAML 48 238 0 30 Jun 2020
Investigating Vulnerability to Adversarial Examples on Multimodal Data Fusion in Deep Learning Youngjoon Yu Hong Joo Lee Byeong Cheon Kim Jung Uk Kim Yong Man Ro AAML 50 18 0 22 May 2020
Defending Against Physically Realizable Attacks on Image Classification Tong Wu Liang Tong Yevgeniy Vorobeychik AAML 38 126 0 20 Sep 2019
MMDetection: Open MMLab Detection Toolbox and Benchmark Kai-xiang Chen Jiaqi Wang Jiangmiao Pang Yuhang Cao Yu Xiong ... Jingdong Wang Jianping Shi Wanli Ouyang Chen Change Loy Dahua Lin VOS 80 2,845 0 17 Jun 2019
Fooling automated surveillance cameras: adversarial patches to attack person detection Simen Thys W. V. Ranst Toon Goedemé AAML 90 567 0 18 Apr 2019
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges Di Feng Christian Haase-Schuetz Lars Rosenbaum Heinz Hertlein Claudius Gläser Fabian Duffhauss W. Wiesbeck Klaus C. J. Dietmayer 3DPC 59 1,000 0 21 Feb 2019
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector Shang-Tse Chen Cory Cornelius Jason Martin Duen Horng Chau ObjD 179 425 0 16 Apr 2018
Adversarial Examples for Semantic Segmentation and Object Detection Cihang Xie Jianyu Wang Zhishuai Zhang Yuyin Zhou Lingxi Xie Alan Yuille GAN AAML 76 928 0 24 Mar 2017