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Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a
  Blink

Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink

11 March 2021
Ranjie Duan
Xiaofeng Mao
•. A. K. Qin
Yun Yang
YueFeng Chen
Shaokai Ye
Yuan He
    AAML
ArXivPDFHTML

Papers citing "Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink"

22 / 72 papers shown
Title
Adversarial Color Film: Effective Physical-World Attack to DNNs
Adversarial Color Film: Effective Physical-World Attack to DNNs
Chen-Hao Hu
Weiwen Shi
AAML
103
13
0
02 Sep 2022
Prior-Guided Adversarial Initialization for Fast Adversarial Training
Prior-Guided Adversarial Initialization for Fast Adversarial Training
Xiaojun Jia
Yong Zhang
Xingxing Wei
Baoyuan Wu
Ke Ma
Jue Wang
Xiaochun Cao
AAML
25
37
0
18 Jul 2022
The Weaknesses of Adversarial Camouflage in Overhead Imagery
The Weaknesses of Adversarial Camouflage in Overhead Imagery
A. V. Etten
AAML
22
7
0
06 Jul 2022
Adversarial Zoom Lens: A Novel Physical-World Attack to DNNs
Adversarial Zoom Lens: A Novel Physical-World Attack to DNNs
Chen-Hao Hu
Weiwen Shi
AAML
23
5
0
23 Jun 2022
Adversarial Laser Spot: Robust and Covert Physical-World Attack to DNNs
Adversarial Laser Spot: Robust and Covert Physical-World Attack to DNNs
Chen-Hao Hu
Yilong Wang
Kalibinuer Tiliwalidi
Wen Li
AAML
12
16
0
02 Jun 2022
Physical-World Optical Adversarial Attacks on 3D Face Recognition
Physical-World Optical Adversarial Attacks on 3D Face Recognition
Yanjie Li
Yiquan Li
Xuelong Dai
Songtao Guo
Bin Xiao
AAML
27
28
0
26 May 2022
Infrared Invisible Clothing:Hiding from Infrared Detectors at Multiple
  Angles in Real World
Infrared Invisible Clothing:Hiding from Infrared Detectors at Multiple Angles in Real World
Xiaopei Zhu
Zhan Hu
Siyuan Huang
Jianmin Li
Xiaolin Hu
AAML
20
55
0
12 May 2022
SoK: Rethinking Sensor Spoofing Attacks against Robotic Vehicles from a
  Systematic View
SoK: Rethinking Sensor Spoofing Attacks against Robotic Vehicles from a Systematic View
Yuan Xu
Xingshuo Han
Gelei Deng
Jiwei Li
Yang Liu
Tianwei Zhang
AAML
19
20
0
10 May 2022
Defensive Patches for Robust Recognition in the Physical World
Defensive Patches for Robust Recognition in the Physical World
Jiakai Wang
Zixin Yin
Pengfei Hu
Aishan Liu
Renshuai Tao
Haotong Qin
Xianglong Liu
Dacheng Tao
AAML
19
29
0
13 Apr 2022
Adversarial Neon Beam: A Light-based Physical Attack to DNNs
Adversarial Neon Beam: A Light-based Physical Attack to DNNs
Chen-Hao Hu
Weiwen Shi
Wen Li
AAML
33
8
0
02 Apr 2022
Enhancing Transferability of Adversarial Examples with Spatial Momentum
Enhancing Transferability of Adversarial Examples with Spatial Momentum
Guoqiu Wang
Huanqian Yan
Xingxing Wei
AAML
17
9
0
25 Mar 2022
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
28
146
0
08 Mar 2022
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for
  Black-box Domains
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains
Qilong Zhang
Xiaodan Li
YueFeng Chen
Jingkuan Song
Lianli Gao
Yuan He
Hui Xue
AAML
64
64
0
27 Jan 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
13
89
0
20 Aug 2021
Optical Adversarial Attack
Optical Adversarial Attack
Abhiram Gnanasambandam
A. Sherman
Stanley H. Chan
AAML
27
65
0
13 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
Benign Adversarial Attack: Tricking Models for Goodness
Benign Adversarial Attack: Tricking Models for Goodness
Jitao Sang
Xian Zhao
Jiaming Zhang
Zhiyu Lin
AAML
SILM
22
2
0
26 Jul 2021
RA-BNN: Constructing Robust & Accurate Binary Neural Network to
  Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy
RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy
Adnan Siraj Rakin
Li Yang
Jingtao Li
Fan Yao
C. Chakrabarti
Yu Cao
Jae-sun Seo
Deliang Fan
AAML
MQ
26
25
0
22 Mar 2021
Towards Defending Multiple $\ell_p$-norm Bounded Adversarial
  Perturbations via Gated Batch Normalization
Towards Defending Multiple ℓp\ell_pℓp​-norm Bounded Adversarial Perturbations via Gated Batch Normalization
Aishan Liu
Shiyu Tang
Xinyun Chen
Lei Huang
Zhuozhuo Tu
Xianglong Liu
Dacheng Tao
AAML
27
31
0
03 Dec 2020
Adversarial Camouflage: Hiding Physical-World Attacks with Natural
  Styles
Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles
Ranjie Duan
Xingjun Ma
Yisen Wang
James Bailey
•. A. K. Qin
Yun Yang
AAML
164
224
0
08 Mar 2020
Universal Physical Camouflage Attacks on Object Detectors
Universal Physical Camouflage Attacks on Object Detectors
Lifeng Huang
Chengying Gao
Yuyin Zhou
Cihang Xie
Alan Yuille
C. Zou
Ning Liu
AAML
137
160
0
10 Sep 2019
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,835
0
08 Jul 2016
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