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1806.02299
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DPatch: An Adversarial Patch Attack on Object Detectors
5 June 2018
Xin Liu
Huanrui Yang
Ziwei Liu
Linghao Song
Hai Helen Li
Yiran Chen
AAML
ObjD
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Papers citing
"DPatch: An Adversarial Patch Attack on Object Detectors"
46 / 146 papers shown
Adversarial Attacks in a Multi-view Setting: An Empirical Study of the Adversarial Patches Inter-view Transferability
International Conference on Cyberworlds (CW), 2021
Bilel Tarchoun
Ihsen Alouani
Anouar Ben Khalifa
Mohamed Ali Mahjoub
AAML
108
7
0
10 Oct 2021
You Cannot Easily Catch Me: A Low-Detectable Adversarial Patch for Object Detectors
Zijian Zhu
Hang Su
Chang-rui Liu
Wenzhao Xiang
Shibao Zheng
AAML
95
7
0
30 Sep 2021
PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier
Chong Xiang
Saeed Mahloujifar
Prateek Mittal
VLM
AAML
266
95
0
20 Aug 2021
Adversarial Machine Learning for Cybersecurity and Computer Vision: Current Developments and Challenges
B. Xi
AAML
90
32
0
30 Jun 2021
Inconspicuous Adversarial Patches for Fooling Image Recognition Systems on Mobile Devices
IEEE Internet of Things Journal (IEEE IoT Journal), 2021
Tao Bai
Jinqi Luo
Jun Zhao
AAML
173
38
0
29 Jun 2021
Who is Responsible for Adversarial Defense?
Kishor Datta Gupta
D. Dasgupta
AAML
109
2
0
27 Jun 2021
3DB: A Framework for Debugging Computer Vision Models
Neural Information Processing Systems (NeurIPS), 2021
Guillaume Leclerc
Hadi Salman
Andrew Ilyas
Sai H. Vemprala
Logan Engstrom
...
Pengchuan Zhang
Shibani Santurkar
Greg Yang
Ashish Kapoor
Aleksander Madry
240
44
0
07 Jun 2021
Simple Transparent Adversarial Examples
Jaydeep Borkar
Pin-Yu Chen
AAML
115
6
0
20 May 2021
Local Aggressive Adversarial Attacks on 3D Point Cloud
Asian Conference on Machine Learning (ACML), 2021
Yiming Sun
F. Chen
Zhiyu Chen
Mingjie Wang
3DPC
AAML
168
22
0
19 May 2021
Real-time Detection of Practical Universal Adversarial Perturbations
Kenneth T. Co
Luis Muñoz-González
Leslie Kanthan
Emil C. Lupu
AAML
236
8
0
16 May 2021
Exploiting Vulnerabilities in Deep Neural Networks: Adversarial and Fault-Injection Attacks
Faiq Khalid
Muhammad Abdullah Hanif
Mohamed Bennai
AAML
SILM
169
10
0
05 May 2021
Physical world assistive signals for deep neural network classifiers -- neither defense nor attack
Camilo Pestana
Wei Liu
D. Glance
R. Owens
Lin Wang
AAML
90
0
0
03 May 2021
IPatch: A Remote Adversarial Patch
Yisroel Mirsky
AAML
187
15
0
30 Apr 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety
Sebastian Houben
Stephanie Abrecht
Maram Akila
Andreas Bär
Felix Brockherde
...
Serin Varghese
Michael Weber
Sebastian J. Wirkert
Tim Wirtz
Matthias Woehrle
AAML
323
61
0
29 Apr 2021
Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box Vulnerabilities
Julia Rosenzweig
Joachim Sicking
Sebastian Houben
Michael Mock
Maram Akila
AAML
278
3
0
22 Apr 2021
Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting
ACM Multimedia (ACM MM), 2021
Qiming Wu
Zhikang Zou
Pan Zhou
Xiaoqing Ye
Binghui Wang
Ang Li
AAML
246
7
0
22 Apr 2021
Adversarial Sticker: A Stealthy Attack Method in the Physical World
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Xingxing Wei
Yingjie Guo
Jie Yu
AAML
249
161
0
14 Apr 2021
Robust and Accurate Object Detection via Adversarial Learning
Computer Vision and Pattern Recognition (CVPR), 2021
Xiangning Chen
Cihang Xie
Mingxing Tan
Li Zhang
Cho-Jui Hsieh
Boqing Gong
AAML
130
76
0
23 Mar 2021
RPATTACK: Refined Patch Attack on General Object Detectors
IEEE International Conference on Multimedia and Expo (ICME), 2021
Hao Huang
Yongtao Wang
Zhaoyu Chen
Zhi Tang
Wenqiang Zhang
K. Ma
ObjD
AAML
121
40
0
23 Mar 2021
Adversarial Feature Augmentation and Normalization for Visual Recognition
Tianlong Chen
Yu Cheng
Zhe Gan
Jianfeng Wang
Lijuan Wang
Zinan Lin
Jingjing Liu
AAML
ViT
136
21
0
22 Mar 2021
Realizable Universal Adversarial Perturbations for Malware
Raphael Labaca-Castro
Luis Muñoz-González
Feargus Pendlebury
Gabi Dreo Rodosek
Fabio Pierazzi
Lorenzo Cavallaro
AAML
184
8
0
12 Feb 2021
Enhancing Real-World Adversarial Patches through 3D Modeling of Complex Target Scenes
Neurocomputing (Neurocomputing), 2021
Yael Mathov
Lior Rokach
Yuval Elovici
135
7
0
10 Feb 2021
Efficient Certified Defenses Against Patch Attacks on Image Classifiers
International Conference on Learning Representations (ICLR), 2021
J. H. Metzen
Maksym Yatsura
AAML
108
48
0
08 Feb 2021
DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding Attacks
Conference on Computer and Communications Security (CCS), 2021
Chong Xiang
Prateek Mittal
AAML
247
71
0
05 Feb 2021
Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving
Conference on Robot Learning (CoRL), 2021
James Tu
Huichen Li
Xinchen Yan
Mengye Ren
Yun Chen
Ming Liang
E. Bitar
Ersin Yumer
R. Urtasun
AAML
287
98
0
17 Jan 2021
Sparse Adversarial Attack to Object Detection
Jiayu Bao
AAML
119
17
0
26 Dec 2020
The Translucent Patch: A Physical and Universal Attack on Object Detectors
Computer Vision and Pattern Recognition (CVPR), 2020
Alon Zolfi
Moshe Kravchik
Yuval Elovici
A. Shabtai
AAML
146
116
0
23 Dec 2020
Robustness and Transferability of Universal Attacks on Compressed Models
Alberto G. Matachana
Kenneth T. Co
Luis Muñoz-González
David Martínez
Emil C. Lupu
AAML
163
11
0
10 Dec 2020
Incorporating Hidden Layer representation into Adversarial Attacks and Defences
Haojing Shen
Sihong Chen
Ran Wang
Xizhao Wang
AAML
137
0
0
28 Nov 2020
A Study on the Uncertainty of Convolutional Layers in Deep Neural Networks
International Journal of Machine Learning and Cybernetics (IJMLC), 2020
Hao Shen
Sihong Chen
Ran Wang
136
7
0
27 Nov 2020
DPAttack: Diffused Patch Attacks against Universal Object Detection
Shudeng Wu
Tao Dai
Shutao Xia
AAML
141
29
0
16 Oct 2020
Generating Adversarial yet Inconspicuous Patches with a Single Image
Jinqi Luo
Tao Bai
Jun Zhao
AAML
117
6
0
21 Sep 2020
Vax-a-Net: Training-time Defence Against Adversarial Patch Attacks
Asian Conference on Computer Vision (ACCV), 2020
Thomas Gittings
Steve A. Schneider
John Collomosse
AAML
109
18
0
17 Sep 2020
Adversarial Patch Camouflage against Aerial Detection
Ajaya Adhikari
R. D. Hollander
I. Tolios
M. V. Bekkum
Anneloes M. Bal
...
Dennis Gross
N. Jansen
Guillermo A. Pérez
Kit Buurman
S. Raaijmakers
AAML
224
52
0
31 Aug 2020
Improving Resistance to Adversarial Deformations by Regularizing Gradients
Neurocomputing (Neurocomputing), 2020
Pengfei Xia
Bin Li
AAML
151
4
0
29 Aug 2020
CCA: Exploring the Possibility of Contextual Camouflage Attack on Object Detection
Shengnan Hu
Yang Zhang
Sumit Laha
A. Sharma
H. Foroosh
AAML
86
8
0
19 Aug 2020
Understanding Object Detection Through An Adversarial Lens
European Symposium on Research in Computer Security (ESORICS), 2020
Ka-Ho Chow
Ling Liu
Mehmet Emre Gursoy
Stacey Truex
Wenqi Wei
Yanzhao Wu
AAML
ObjD
122
29
0
11 Jul 2020
PatchGuard: A Provably Robust Defense against Adversarial Patches via Small Receptive Fields and Masking
Chong Xiang
A. Bhagoji
Vikash Sehwag
Prateek Mittal
AAML
309
29
0
17 May 2020
Blind Backdoors in Deep Learning Models
Eugene Bagdasaryan
Vitaly Shmatikov
AAML
FedML
SILM
455
350
0
08 May 2020
GRAPHITE: Generating Automatic Physical Examples for Machine-Learning Attacks on Computer Vision Systems
European Symposium on Security and Privacy (EuroS&P), 2020
Ryan Feng
Neal Mangaokar
Jiefeng Chen
Earlence Fernandes
S. Jha
Atul Prakash
OOD
AAML
248
14
0
17 Feb 2020
Design and Interpretation of Universal Adversarial Patches in Face Detection
European Conference on Computer Vision (ECCV), 2019
Xiao Yang
Fangyun Wei
Hongyang R. Zhang
Jun Zhu
AAML
CVBM
348
43
0
30 Nov 2019
Indirect Local Attacks for Context-aware Semantic Segmentation Networks
European Conference on Computer Vision (ECCV), 2019
Krishna Kanth Nakka
Mathieu Salzmann
SSeg
AAML
203
33
0
29 Nov 2019
When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks
Computer Vision and Pattern Recognition (CVPR), 2019
Minghao Guo
Yuzhe Yang
Rui Xu
Ziwei Liu
Dahua Lin
AAML
OOD
392
168
0
25 Nov 2019
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors
European Conference on Computer Vision (ECCV), 2019
Zuxuan Wu
Ser-Nam Lim
L. Davis
Tom Goldstein
AAML
350
304
0
31 Oct 2019
Universal Physical Camouflage Attacks on Object Detectors
Computer Vision and Pattern Recognition (CVPR), 2019
Lifeng Huang
Chengying Gao
Yuyin Zhou
Cihang Xie
Alan Yuille
C. Zou
Ning Liu
AAML
312
199
0
10 Sep 2019
Exploring the Vulnerability of Single Shot Module in Object Detectors via Imperceptible Background Patches
Yuezun Li
Xiao Bian
Ming-Ching Chang
Siwei Lyu
AAML
ObjD
218
33
0
16 Sep 2018
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