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1907.10310
Cited By
Towards Adversarially Robust Object Detection
24 July 2019
Haichao Zhang
Jianyu Wang
AAML
ObjD
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Papers citing
"Towards Adversarially Robust Object Detection"
50 / 56 papers shown
Title
Multi-Robot Coordination with Adversarial Perception
Rayan Bahrami
H. Jafarnejadsani
AAML
34
0
0
12 Apr 2025
Improving Domain Generalization in Self-supervised Monocular Depth Estimation via Stabilized Adversarial Training
Yuanqi Yao
Gang Wu
Kui Jiang
Siao Liu
Jian Kuai
Xianming Liu
Junjun Jiang
MDE
32
1
0
04 Nov 2024
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
32
4
0
09 Jun 2024
PAD: Patch-Agnostic Defense against Adversarial Patch Attacks
Lihua Jing
Rui Wang
Wenqi Ren
Xinjie Dong
Cong Zou
AAML
21
6
0
25 Apr 2024
SA-Attack: Speed-adaptive stealthy adversarial attack on trajectory prediction
Huilin Yin
Jiaxiang Li
Pengju Zhen
Jun Yan
AAML
23
1
0
19 Apr 2024
Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches
Lingxuan Wu
Xiao Yang
Yinpeng Dong
Liuwei Xie
Hang Su
Jun Zhu
AAML
35
2
0
31 Mar 2024
What Sketch Explainability Really Means for Downstream Tasks
Hmrishav Bandyopadhyay
Pinaki Nath Chowdhury
A. Bhunia
Aneeshan Sain
Tao Xiang
Yi-Zhe Song
30
4
0
14 Mar 2024
Towards Improving Robustness Against Common Corruptions in Object Detectors Using Adversarial Contrastive Learning
Shashank Kotyan
Danilo Vasconcellos Vargas
AAML
13
0
0
14 Nov 2023
Drawing the Same Bounding Box Twice? Coping Noisy Annotations in Object Detection with Repeated Labels
David Tschirschwitz
C. Benz
Morris Florek
Henrik Norderhus
Benno Stein
Volker Rodehorst
14
1
0
18 Sep 2023
Robust Backdoor Attacks on Object Detection in Real World
Yaguan Qian
Boyuan Ji
Shuke He
Shenhui Huang
Xiang Ling
Bin Wang
Wen Wang
39
3
0
16 Sep 2023
FROD: Robust Object Detection for Free
Muhammad Awais
Awais
Weiming Zhuang
Zhuang
Lingjuan
Lingjuan Lyu
Sung-Ho
Sung-Ho Bae
ObjD
21
1
0
03 Aug 2023
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
26
18
0
24 Jul 2023
Towards Generic and Controllable Attacks Against Object Detection
Guopeng Li
Yue Xu
Jian Ding
Guisong Xia
AAML
29
6
0
23 Jul 2023
Object Detection with Transformers: A Review
Tahira Shehzadi
K. Hashmi
D. Stricker
Muhammad Zeshan Afzal
ViT
MU
13
27
0
07 Jun 2023
On the Importance of Backbone to the Adversarial Robustness of Object Detectors
Xiao-Li Li
Hang Chen
Xiaolin Hu
AAML
34
4
0
27 May 2023
Identifying Label Errors in Object Detection Datasets by Loss Inspection
Marius Schubert
Tobias Riedlinger
Karsten Kahl
Daniel Kröll
S. Schoenen
Sinisa Segvic
Matthias Rottmann
NoLa
14
6
0
13 Mar 2023
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
34
60
0
19 Feb 2023
Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks
Zhiyuan Cheng
James Liang
Guanhong Tao
Dongfang Liu
Xiangyu Zhang
32
18
0
31 Jan 2023
General Adversarial Defense Against Black-box Attacks via Pixel Level and Feature Level Distribution Alignments
Xiaogang Xu
Hengshuang Zhao
Philip H. S. Torr
Jiaya Jia
AAML
24
2
0
11 Dec 2022
Robust Real-World Image Super-Resolution against Adversarial Attacks
N. Babaguchi
John R. Smith
Pengxu Wei
T. Plagemann
Rong Yan
AAML
18
25
0
31 Jul 2022
Adversarially-Aware Robust Object Detector
Ziyi Dong
Pengxu Wei
Liang Lin
AAML
ObjD
14
27
0
13 Jul 2022
Adaptive Adversarial Training to Improve Adversarial Robustness of DNNs for Medical Image Segmentation and Detection
Linhai Ma
Liang Liang
OOD
16
6
0
02 Jun 2022
Optimizing One-pixel Black-box Adversarial Attacks
Tianxun Zhou
Shubhanka Agrawal
Prateek Manocha
AAML
MLAU
11
3
0
30 Apr 2022
Does Robustness on ImageNet Transfer to Downstream Tasks?
Yutaro Yamada
Mayu Otani
OOD
18
27
0
08 Apr 2022
Adversarial Attack and Defense of YOLO Detectors in Autonomous Driving Scenarios
Jung Im Choi
Qing Tian
AAML
12
38
0
10 Feb 2022
ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic Masking
Chong Xiang
Alexander Valtchanov
Saeed Mahloujifar
Prateek Mittal
AAML
8
21
0
03 Feb 2022
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization
Yihua Zhang
Guanhua Zhang
Prashant Khanduri
Min-Fong Hong
Shiyu Chang
Sijia Liu
AAML
25
86
0
23 Dec 2021
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
19
75
0
08 Dec 2021
Consistent Semantic Attacks on Optical Flow
Tomer Koren
L. Talker
Michael Dinerstein
R. Jevnisek
AAML
12
4
0
16 Nov 2021
Robust and Accurate Object Detection via Self-Knowledge Distillation
Weipeng Xu
Pengzhi Chu
Renhao Xie
Xiongziyan Xiao
Hongcheng Huang
AAML
ObjD
19
4
0
14 Nov 2021
Sensor Adversarial Traits: Analyzing Robustness of 3D Object Detection Sensor Fusion Models
Wonseok Park
Nan Liu
Qi Alfred Chen
Z. Morley Mao
AAML
3DPC
18
12
0
13 Sep 2021
Adversarially Trained Object Detector for Unsupervised Domain Adaptation
Kazuma Fujii
Hiroshi Kera
K. Kawamoto
ObjD
AAML
23
3
0
13 Sep 2021
Generalized Real-World Super-Resolution through Adversarial Robustness
Angela Castillo
María Escobar
Juan C. Pérez
Andrés Romero
Radu Timofte
Luc Van Gool
Pablo Arbelaez
11
16
0
25 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Ajmal Saeed Mian
Navid Kardan
M. Shah
AAML
22
235
0
01 Aug 2021
Towards Robust General Medical Image Segmentation
Laura Alexandra Daza
Juan C. Pérez
Pablo Arbelaez
OOD
15
25
0
09 Jul 2021
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks
Yulong Cao*
Ningfei Wang*
Chaowei Xiao
Dawei Yang
Jin Fang
Ruigang Yang
Qi Alfred Chen
Mingyan D. Liu
Bo-wen Li
AAML
11
217
0
17 Jun 2021
Class-Aware Robust Adversarial Training for Object Detection
Pin-Chun Chen
Bo-Han Kung
Jun-Cheng Chen
AAML
ObjD
15
48
0
30 Mar 2021
Robust and Accurate Object Detection via Adversarial Learning
Xiangning Chen
Cihang Xie
Mingxing Tan
Li Zhang
Cho-Jui Hsieh
Boqing Gong
AAML
23
72
0
23 Mar 2021
DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding Attacks
Chong Xiang
Prateek Mittal
AAML
21
52
0
05 Feb 2021
Using Feature Alignment Can Improve Clean Average Precision and Adversarial Robustness in Object Detection
Weipeng Xu
Hongcheng Huang
Shaoyou Pan
ObjD
23
7
0
08 Dec 2020
UP-DETR: Unsupervised Pre-training for Object Detection with Transformers
Zhigang Dai
Bolun Cai
Yugeng Lin
Junying Chen
ViT
22
22
0
18 Nov 2020
Stochastic-YOLO: Efficient Probabilistic Object Detection under Dataset Shifts
Tiago Azevedo
R. D. Jong
Matthew Mattina
Partha P. Maji
UQCV
8
15
0
07 Sep 2020
Relevance Attack on Detectors
Sizhe Chen
Fan He
Xiaolin Huang
Kun Zhang
AAML
24
16
0
16 Aug 2020
Shift Equivariance in Object Detection
M. Manfredi
Yu Wang
ObjD
9
18
0
13 Aug 2020
Towards robust sensing for Autonomous Vehicles: An adversarial perspective
Apostolos Modas
Ricardo Sánchez-Matilla
P. Frossard
Andrea Cavallaro
AAML
6
35
0
14 Jul 2020
Adversarial Robustness of Deep Sensor Fusion Models
Shaojie Wang
Tong Wu
Ayan Chakrabarti
Yevgeniy Vorobeychik
AAML
20
10
0
23 Jun 2020
Mixup Regularization for Region Proposal based Object Detectors
S. Bouabid
V. Delaitre
ObjD
12
5
0
04 Mar 2020
Adversarial Ranking Attack and Defense
Mo Zhou
Zhenxing Niu
Le Wang
Qilin Zhang
G. Hua
22
38
0
26 Feb 2020
Sparse Black-box Video Attack with Reinforcement Learning
Xingxing Wei
Huanqian Yan
Bo-wen Li
AAML
20
49
0
11 Jan 2020
Design and Interpretation of Universal Adversarial Patches in Face Detection
Xiao Yang
Fangyun Wei
Hongyang R. Zhang
Jun Zhu
AAML
CVBM
36
43
0
30 Nov 2019
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