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Class-Aware Robust Adversarial Training for Object Detection

Class-Aware Robust Adversarial Training for Object Detection

30 March 2021
Pin-Chun Chen
Bo-Han Kung
Jun-Cheng Chen
    AAML
    ObjD
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Papers citing "Class-Aware Robust Adversarial Training for Object Detection"

22 / 22 papers shown
Title
Multi-Robot Coordination with Adversarial Perception
Multi-Robot Coordination with Adversarial Perception
Rayan Bahrami
H. Jafarnejadsani
AAML
47
0
0
12 Apr 2025
NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors
NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors
Ziqi Zhou
Bowen Li
Yufei Song
Zhifei Yu
Shengshan Hu
Wei Wan
L. Zhang
Dezhong Yao
Hai Jin
AAML
127
2
0
22 Dec 2024
Self-supervised Adversarial Training of Monocular Depth Estimation
  against Physical-World Attacks
Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks
Zhiyuan Cheng
Cheng Han
James Liang
Qifan Wang
Xiangyu Zhang
Dongfang Liu
AAML
37
4
0
09 Jun 2024
ScAR: Scaling Adversarial Robustness for LiDAR Object Detection
ScAR: Scaling Adversarial Robustness for LiDAR Object Detection
Xiaohu Lu
H. Radha
AAML
3DPC
39
0
0
05 Dec 2023
Weakly Supervised Point Clouds Transformer for 3D Object Detection
Weakly Supervised Point Clouds Transformer for 3D Object Detection
Zuojin Tang
Bo Sun
Tongwei Ma
Daosheng Li
Zhenhui Xu
3DPC
ViT
22
0
0
08 Sep 2023
PAIF: Perception-Aware Infrared-Visible Image Fusion for Attack-Tolerant
  Semantic Segmentation
PAIF: Perception-Aware Infrared-Visible Image Fusion for Attack-Tolerant Semantic Segmentation
Zhu Liu
Jinyuan Liu
Ben-xi Zhang
Long Ma
Xin-Yue Fan
Risheng Liu
AAML
44
39
0
08 Aug 2023
FROD: Robust Object Detection for Free
FROD: Robust Object Detection for Free
Muhammad Awais
Awais
Weiming Zhuang
Zhuang
Lingjuan
Lingjuan Lyu
Sung-Ho
Sung-Ho Bae
ObjD
26
1
0
03 Aug 2023
COCO-O: A Benchmark for Object Detectors under Natural Distribution
  Shifts
COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts
Xiaofeng Mao
YueFeng Chen
Yao Zhu
Da Chen
Hang Su
Rong Zhang
H. Xue
ObjD
OOD
38
18
0
24 Jul 2023
Towards Generic and Controllable Attacks Against Object Detection
Towards Generic and Controllable Attacks Against Object Detection
Guopeng Li
Yue Xu
Jian Ding
Guisong Xia
AAML
37
6
0
23 Jul 2023
Cooperation or Competition: Avoiding Player Domination for Multi-Target
  Robustness via Adaptive Budgets
Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets
Yimu Wang
Dinghuai Zhang
Yihan Wu
Heng Huang
Hongyang R. Zhang
AAML
23
1
0
27 Jun 2023
On the Importance of Backbone to the Adversarial Robustness of Object Detectors
On the Importance of Backbone to the Adversarial Robustness of Object Detectors
Xiao-Li Li
Hang Chen
Xiaolin Hu
AAML
38
4
0
27 May 2023
X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item
  Detection
X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection
Aishan Liu
Jun Guo
Jiakai Wang
Siyuan Liang
Renshuai Tao
Wenbo Zhou
Cong Liu
Xianglong Liu
Dacheng Tao
AAML
39
60
0
19 Feb 2023
Adversarial Training of Self-supervised Monocular Depth Estimation
  against Physical-World Attacks
Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks
Zhiyuan Cheng
James Liang
Guanhong Tao
Dongfang Liu
Xiangyu Zhang
34
18
0
31 Jan 2023
Adversarially-Aware Robust Object Detector
Adversarially-Aware Robust Object Detector
Ziyi Dong
Pengxu Wei
Liang Lin
AAML
ObjD
16
27
0
13 Jul 2022
SoK: On the Semantic AI Security in Autonomous Driving
SoK: On the Semantic AI Security in Autonomous Driving
Junjie Shen
Ningfei Wang
Ziwen Wan
Yunpeng Luo
Takami Sato
...
Zhenyu Zhong
Kang Li
Ziming Zhao
Chunming Qiao
Qi Alfred Chen
AAML
17
39
0
10 Mar 2022
ARIA: Adversarially Robust Image Attribution for Content Provenance
ARIA: Adversarially Robust Image Attribution for Content Provenance
Maksym Andriushchenko
X. Li
Geoffrey Oxholm
Thomas Gittings
Tu Bui
Nicolas Flammarion
John Collomosse
AAML
19
0
0
25 Feb 2022
Segment and Complete: Defending Object Detectors against Adversarial
  Patch Attacks with Robust Patch Detection
Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection
Jiangjiang Liu
Alexander Levine
Chun Pong Lau
Ramalingam Chellappa
S. Feizi
AAML
24
76
0
08 Dec 2021
Robust and Accurate Object Detection via Self-Knowledge Distillation
Robust and Accurate Object Detection via Self-Knowledge Distillation
Weipeng Xu
Pengzhi Chu
Renhao Xie
Xiongziyan Xiao
Hongcheng Huang
AAML
ObjD
27
4
0
14 Nov 2021
Advances in adversarial attacks and defenses in computer vision: A
  survey
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Ajmal Saeed Mian
Navid Kardan
M. Shah
AAML
26
235
0
01 Aug 2021
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial
  Robustness of Neural Networks
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks
Linhai Ma
Liang Liang
AAML
26
18
0
19 May 2020
Transferable Adversarial Attacks for Image and Video Object Detection
Transferable Adversarial Attacks for Image and Video Object Detection
Xingxing Wei
Siyuan Liang
Ning Chen
Xiaochun Cao
AAML
77
221
0
30 Nov 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,837
0
08 Jul 2016
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