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Physical Adversarial Textures that Fool Visual Object Tracking

Physical Adversarial Textures that Fool Visual Object Tracking

24 April 2019
R. Wiyatno
Anqi Xu
    AAML
ArXivPDFHTML

Papers citing "Physical Adversarial Textures that Fool Visual Object Tracking"

14 / 14 papers shown
Title
Adversarial Color Projection: A Projector-based Physical Attack to DNNs
Adversarial Color Projection: A Projector-based Physical Attack to DNNs
Chen-Hao Hu
Weiwen Shi
Ling Tian
AAML
35
3
0
19 Sep 2022
SkeleVision: Towards Adversarial Resiliency of Person Tracking with
  Multi-Task Learning
SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning
Nilaksh Das
ShengYun Peng
Duen Horng Chau
AAML
22
2
0
02 Apr 2022
AdvDrop: Adversarial Attack to DNNs by Dropping Information
AdvDrop: Adversarial Attack to DNNs by Dropping Information
Ranjie Duan
YueFeng Chen
Dantong Niu
Yun Yang
•. A. K. Qin
Yuan He
AAML
18
89
0
20 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
26
235
0
01 Aug 2021
Attack to Fool and Explain Deep Networks
Attack to Fool and Explain Deep Networks
Naveed Akhtar
M. Jalwana
Bennamoun
Ajmal Saeed Mian
AAML
27
33
0
20 Jun 2021
A Simple and Strong Baseline for Universal Targeted Attacks on Siamese
  Visual Tracking
A Simple and Strong Baseline for Universal Targeted Attacks on Siamese Visual Tracking
Zhenbang Li
Yaya Shi
Jin Gao
Shaoru Wang
Bing Li
Pengpeng Liang
Weiming Hu
AAML
39
26
0
06 May 2021
Fashion-Guided Adversarial Attack on Person Segmentation
Fashion-Guided Adversarial Attack on Person Segmentation
Marc Treu
Trung-Nghia Le
H. Nguyen
Junichi Yamagishi
Isao Echizen
AAML
30
12
0
17 Apr 2021
Towards More Flexible and Accurate Object Tracking with Natural
  Language: Algorithms and Benchmark
Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark
Tianlin Li
Xiujun Shu
Zhipeng Zhang
Bo Jiang
Yaowei Wang
Yonghong Tian
Feng Wu
19
151
0
31 Mar 2021
IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for
  Visual Object Tracking
IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking
Shuai Jia
Yibing Song
Chao Ma
Xiaokang Yang
AAML
45
48
0
27 Mar 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
24
138
0
11 Mar 2021
Exploring Adversarial Robustness of Multi-Sensor Perception Systems in
  Self Driving
Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving
James Tu
Huichen Li
Xinchen Yan
Mengye Ren
Yun Chen
Ming Liang
E. Bitar
Ersin Yumer
R. Urtasun
AAML
32
75
0
17 Jan 2021
Generating Adversarial yet Inconspicuous Patches with a Single Image
Generating Adversarial yet Inconspicuous Patches with a Single Image
Jinqi Luo
Tao Bai
Jun Zhao
AAML
27
6
0
21 Sep 2020
Adversarial Training against Location-Optimized Adversarial Patches
Adversarial Training against Location-Optimized Adversarial Patches
Sukrut Rao
David Stutz
Bernt Schiele
AAML
13
91
0
05 May 2020
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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