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BankTweak: Adversarial Attack against Multi-Object Trackers by
  Manipulating Feature Banks

BankTweak: Adversarial Attack against Multi-Object Trackers by Manipulating Feature Banks

22 August 2024
Woojin Shin
Donghwa Kang
Daejin Choi
Brent Kang
Jinkyu Lee
Hyeongboo Baek
    VOT
    AAML
ArXivPDFHTML

Papers citing "BankTweak: Adversarial Attack against Multi-Object Trackers by Manipulating Feature Banks"

13 / 13 papers shown
Title
Shadows can be Dangerous: Stealthy and Effective Physical-world
  Adversarial Attack by Natural Phenomenon
Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon
Yiqi Zhong
Xianming Liu
Deming Zhai
Junjun Jiang
Xiangyang Ji
AAML
109
147
0
08 Mar 2022
YOLOX: Exceeding YOLO Series in 2021
YOLOX: Exceeding YOLO Series in 2021
Zheng Ge
Songtao Liu
Feng Wang
Zeming Li
Jian Sun
ObjD
126
4,082
0
18 Jul 2021
Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a
  Blink
Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink
Ranjie Duan
Xiaofeng Mao
•. A. K. Qin
Yun Yang
YueFeng Chen
Shaokai Ye
Yuan He
AAML
41
139
0
11 Mar 2021
Deformable DETR: Deformable Transformers for End-to-End Object Detection
Deformable DETR: Deformable Transformers for End-to-End Object Detection
Xizhou Zhu
Weijie Su
Lewei Lu
Bin Li
Xiaogang Wang
Jifeng Dai
ViT
211
5,068
0
08 Oct 2020
HOTA: A Higher Order Metric for Evaluating Multi-Object Tracking
HOTA: A Higher Order Metric for Evaluating Multi-Object Tracking
Jonathon Luiten
Aljosa Osep
Patrick Dendorfer
Philip Torr
Andreas Geiger
Laura Leal-Taixe
Bastian Leibe
VOT
72
909
0
16 Sep 2020
Cooling-Shrinking Attack: Blinding the Tracker with Imperceptible Noises
Cooling-Shrinking Attack: Blinding the Tracker with Imperceptible Noises
B. Yan
Dong Wang
Huchuan Lu
Xiaoyun Yang
AAML
37
71
0
21 Mar 2020
Omni-Scale Feature Learning for Person Re-Identification
Omni-Scale Feature Learning for Person Re-Identification
Kaiyang Zhou
Yongxin Yang
Andrea Cavallaro
Tao Xiang
79
831
0
02 May 2019
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object
  Detector
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector
Shang-Tse Chen
Cory Cornelius
Jason Martin
Duen Horng Chau
ObjD
192
428
0
16 Apr 2018
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILM
OOD
301
12,060
0
19 Jun 2017
Adversarial Examples for Semantic Segmentation and Object Detection
Adversarial Examples for Semantic Segmentation and Object Detection
Cihang Xie
Jianyu Wang
Zhishuai Zhang
Yuyin Zhou
Lingxi Xie
Alan Yuille
GAN
AAML
104
931
0
24 Mar 2017
Simple Online and Realtime Tracking with a Deep Association Metric
Simple Online and Realtime Tracking with a Deep Association Metric
N. Wojke
Alex Bewley
Dietrich Paulus
VOT
391
3,528
0
21 Mar 2017
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
497
62,243
0
04 Jun 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
271
19,045
0
20 Dec 2014
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