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Towards Adversarially Robust Object Detection

Towards Adversarially Robust Object Detection

24 July 2019
Haichao Zhang
Jianyu Wang
    AAML
    ObjD
ArXivPDFHTML

Papers citing "Towards Adversarially Robust Object Detection"

50 / 56 papers shown
Title
Multi-Robot Coordination with Adversarial Perception
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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?
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Relevance Attack on Detectors
Sizhe Chen
Fan He
Xiaolin Huang
Kun Zhang
AAML
24
16
0
16 Aug 2020
Shift Equivariance in Object Detection
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
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
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
Mixup Regularization for Region Proposal based Object Detectors
S. Bouabid
V. Delaitre
ObjD
12
5
0
04 Mar 2020
Adversarial Ranking Attack and Defense
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
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
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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