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PAD: Patch-Agnostic Defense against Adversarial Patch Attacks

PAD: Patch-Agnostic Defense against Adversarial Patch Attacks

25 April 2024
Lihua Jing
Rui Wang
Wenqi Ren
Xinjie Dong
Cong Zou
    AAML
ArXivPDFHTML

Papers citing "PAD: Patch-Agnostic Defense against Adversarial Patch Attacks"

36 / 36 papers shown
Title
SuperPure: Efficient Purification of Localized and Distributed Adversarial Patches via Super-Resolution GAN Models
SuperPure: Efficient Purification of Localized and Distributed Adversarial Patches via Super-Resolution GAN Models
Hossein Khalili
Seongbin Park
Venkat Bollapragada
Nader Sehatbakhsh
AAML
148
0
0
22 May 2025
Jedi: Entropy-based Localization and Removal of Adversarial Patches
Jedi: Entropy-based Localization and Removal of Adversarial Patches
Bilel Tarchoun
Anouar Ben Khalifa
Mohamed Ali Mahjoub
Nael B. Abu-Ghazaleh
Ihsen Alouani
AAML
41
24
0
20 Apr 2023
Segment Anything
Segment Anything
A. Kirillov
Eric Mintun
Nikhila Ravi
Hanzi Mao
Chloe Rolland
...
Spencer Whitehead
Alexander C. Berg
Wan-Yen Lo
Piotr Dollár
Ross B. Girshick
MLLM
VLM
273
7,047
0
05 Apr 2023
T-SEA: Transfer-based Self-Ensemble Attack on Object Detection
T-SEA: Transfer-based Self-Ensemble Attack on Object Detection
Hao Huang
Ziyan Chen
Huanran Chen
Yongtao Wang
Ke-Yue Zhang
AAML
71
58
0
16 Nov 2022
PatchZero: Defending against Adversarial Patch Attacks by Detecting and
  Zeroing the Patch
PatchZero: Defending against Adversarial Patch Attacks by Detecting and Zeroing the Patch
Ke Xu
Yao Xiao
Zhao-Heng Zheng
Kaijie Cai
Ramkant Nevatia
AAML
42
30
0
05 Jul 2022
Defending From Physically-Realizable Adversarial Attacks Through
  Internal Over-Activation Analysis
Defending From Physically-Realizable Adversarial Attacks Through Internal Over-Activation Analysis
Giulio Rossolini
F. Nesti
Fabio Brau
Alessandro Biondi
Giorgio Buttazzo
AAML
36
9
0
14 Mar 2022
Adversarial Texture for Fooling Person Detectors in the Physical World
Adversarial Texture for Fooling Person Detectors in the Physical World
Zhan Hu
Siyuan Huang
Xiaopei Zhu
Gang Hua
Bo Zhang
Xiaolin Hu
AAML
31
104
0
07 Mar 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
28
23
0
03 Feb 2022
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
Soheil Feizi
AAML
47
77
0
08 Dec 2021
PatchGuard++: Efficient Provable Attack Detection against Adversarial
  Patches
PatchGuard++: Efficient Provable Attack Detection against Adversarial Patches
Chong Xiang
Prateek Mittal
AAML
44
44
0
26 Apr 2021
Adversarial YOLO: Defense Human Detection Patch Attacks via Detecting
  Adversarial Patches
Adversarial YOLO: Defense Human Detection Patch Attacks via Detecting Adversarial Patches
Nan Ji
YanFei Feng
Haidong Xie
Xueshuang Xiang
Naijin Liu
AAML
77
33
0
16 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
47
52
0
05 Feb 2021
Meta Adversarial Training against Universal Patches
Meta Adversarial Training against Universal Patches
J. H. Metzen
Nicole Finnie
Robin Hutmacher
OOD
AAML
80
21
0
27 Jan 2021
Vax-a-Net: Training-time Defence Against Adversarial Patch Attacks
Vax-a-Net: Training-time Defence Against Adversarial Patch Attacks
Thomas Gittings
Steve A. Schneider
John Collomosse
AAML
35
13
0
17 Sep 2020
Adversarial Training against Location-Optimized Adversarial Patches
Adversarial Training against Location-Optimized Adversarial Patches
Sukrut Rao
David Stutz
Bernt Schiele
AAML
34
92
0
05 May 2020
PatchAttack: A Black-box Texture-based Attack with Reinforcement
  Learning
PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning
Chenglin Yang
Adam Kortylewski
Cihang Xie
Yinzhi Cao
Alan Yuille
AAML
66
109
0
12 Apr 2020
APRICOT: A Dataset of Physical Adversarial Attacks on Object Detection
APRICOT: A Dataset of Physical Adversarial Attacks on Object Detection
A. Braunegg
Amartya Chakraborty
Michael Krumdick
Nicole Lape
Sara Leary
Keith Manville
Elizabeth M. Merkhofer
Laura Strickhart
Matthew Walmer
AAML
37
46
0
17 Dec 2019
Making an Invisibility Cloak: Real World Adversarial Attacks on Object
  Detectors
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors
Zuxuan Wu
Ser-Nam Lim
L. Davis
Tom Goldstein
AAML
108
264
0
31 Oct 2019
Role of Spatial Context in Adversarial Robustness for Object Detection
Role of Spatial Context in Adversarial Robustness for Object Detection
Aniruddha Saha
Akshayvarun Subramanya
Koninika Patil
Hamed Pirsiavash
ObjD
AAML
60
53
0
30 Sep 2019
Defending Against Physically Realizable Attacks on Image Classification
Defending Against Physically Realizable Attacks on Image Classification
Tong Wu
Liang Tong
Yevgeniy Vorobeychik
AAML
59
126
0
20 Sep 2019
Towards Adversarially Robust Object Detection
Towards Adversarially Robust Object Detection
Haichao Zhang
Jianyu Wang
AAML
ObjD
96
130
0
24 Jul 2019
PhysGAN: Generating Physical-World-Resilient Adversarial Examples for
  Autonomous Driving
PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving
Zelun Kong
Junfeng Guo
Ang Li
Cong Liu
AAML
57
126
0
09 Jul 2019
Adversarial Training for Free!
Adversarial Training for Free!
Ali Shafahi
Mahyar Najibi
Amin Ghiasi
Zheng Xu
John P. Dickerson
Christoph Studer
L. Davis
Gavin Taylor
Tom Goldstein
AAML
109
1,238
0
29 Apr 2019
Fooling automated surveillance cameras: adversarial patches to attack
  person detection
Fooling automated surveillance cameras: adversarial patches to attack person detection
Simen Thys
W. V. Ranst
Toon Goedemé
AAML
102
567
0
18 Apr 2019
Local Gradients Smoothing: Defense against localized adversarial attacks
Local Gradients Smoothing: Defense against localized adversarial attacks
Muzammal Naseer
Salman H. Khan
Fatih Porikli
AAML
76
160
0
03 Jul 2018
DPatch: An Adversarial Patch Attack on Object Detectors
DPatch: An Adversarial Patch Attack on Object Detectors
Xin Liu
Huanrui Yang
Ziwei Liu
Linghao Song
Hai Helen Li
Yiran Chen
AAML
ObjD
52
291
0
05 Jun 2018
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
187
425
0
16 Apr 2018
YOLOv3: An Incremental Improvement
YOLOv3: An Incremental Improvement
Joseph Redmon
Ali Farhadi
ObjD
98
21,306
0
08 Apr 2018
Improving DNN Robustness to Adversarial Attacks using Jacobian
  Regularization
Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization
Daniel Jakubovitz
Raja Giryes
AAML
39
210
0
23 Mar 2018
LaVAN: Localized and Visible Adversarial Noise
LaVAN: Localized and Visible Adversarial Noise
D. Karmon
Daniel Zoran
Yoav Goldberg
AAML
64
242
0
08 Jan 2018
Adversarial Patch
Adversarial Patch
Tom B. Brown
Dandelion Mané
Aurko Roy
Martín Abadi
Justin Gilmer
AAML
66
1,093
0
27 Dec 2017
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
241
11,962
0
19 Jun 2017
YOLO9000: Better, Faster, Stronger
YOLO9000: Better, Faster, Stronger
Joseph Redmon
Ali Farhadi
VLM
ObjD
168
15,573
0
25 Dec 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.6K
192,638
0
10 Dec 2015
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
423
61,900
0
04 Jun 2015
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
336
43,290
0
01 May 2014
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