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Adversarial Robustness of Deep Sensor Fusion Models
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025
23 June 2020
Shaojie Wang
Tong Wu
Ayan Chakrabarti
Yevgeniy Vorobeychik
AAML
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Papers citing
"Adversarial Robustness of Deep Sensor Fusion Models"
7 / 7 papers shown
Title
Adversarial Examples in Environment Perception for Automated Driving (Review)
Jun Yan
Huilin Yin
AAML
144
1
0
11 Apr 2025
Hyperdimensional Uncertainty Quantification for Multimodal Uncertainty Fusion in Autonomous Vehicles Perception
Luke Chen
Junyao Wang
Trier Mortlock
Pramod P. Khargonekar
M. A. Al Faruque
UQCV
208
1
0
25 Mar 2025
Module-wise Adaptive Adversarial Training for End-to-end Autonomous Driving
Tianyuan Zhang
Lu Wang
Jiaqi Kang
Xinwei Zhang
Yaning Tan
Yuwei Chen
Aishan Liu
Xianglong Liu
AAML
124
4
0
11 Sep 2024
Hardening RGB-D Object Recognition Systems against Adversarial Patch Attacks
Yang Zheng
Christian Scano
Antonio Emanuele Cinà
Xiaoyi Feng
Zhaoqiang Xia
Xiaoyue Jiang
Ambra Demontis
Battista Biggio
Fabio Roli
AAML
85
4
0
13 Sep 2023
Unified Adversarial Patch for Visible-Infrared Cross-modal Attacks in the Physical World
Xingxing Wei
Yao Huang
Yitong Sun
Jie Yu
AAML
109
19
0
27 Jul 2023
Quantifying the robustness of deep multispectral segmentation models against natural perturbations and data poisoning
Elise Bishoff
Charles Godfrey
Myles Mckay
E. Byler
AAML
93
1
0
18 May 2023
Billion-scale similarity search with GPUs
Jeff Johnson
Matthijs Douze
Edouard Grave
665
4,052
0
28 Feb 2017
1