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Area is all you need: repeatable elements make stronger adversarial
  attacks

Area is all you need: repeatable elements make stronger adversarial attacks

13 June 2023
D. Niederhut
    AAML
ArXiv (abs)PDFHTML

Papers citing "Area is all you need: repeatable elements make stronger adversarial attacks"

18 / 18 papers shown
Title
InvisibiliTee: Angle-agnostic Cloaking from Person-Tracking Systems with
  a Tee
InvisibiliTee: Angle-agnostic Cloaking from Person-Tracking Systems with a Tee
Yaxian Li
Bingqing Zhang
Guoping Zhao
Mingyu Zhang
Jiajun Liu
Ziwei Wang
Jirong Wen
50
1
0
15 Aug 2022
Unadversarial Examples: Designing Objects for Robust Vision
Unadversarial Examples: Designing Objects for Robust Vision
Hadi Salman
Andrew Ilyas
Logan Engstrom
Sai H. Vemprala
Aleksander Madry
Ashish Kapoor
WIGM
122
59
0
22 Dec 2020
Do Adversarially Robust ImageNet Models Transfer Better?
Do Adversarially Robust ImageNet Models Transfer Better?
Hadi Salman
Andrew Ilyas
Logan Engstrom
Ashish Kapoor
Aleksander Madry
101
426
0
16 Jul 2020
Array Programming with NumPy
Array Programming with NumPy
Charles R. Harris
K. Millman
S. Walt
R. Gommers
Pauli Virtanen
...
Tyler Reddy
Warren Weckesser
Hameer Abbasi
C. Gohlke
T. Oliphant
158
15,066
0
18 Jun 2020
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
130
265
0
31 Oct 2019
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
182
167
0
10 Sep 2019
Natural Adversarial Examples
Natural Adversarial Examples
Dan Hendrycks
Kevin Zhao
Steven Basart
Jacob Steinhardt
Basel Alomair
OODD
236
1,484
0
16 Jul 2019
Adversarial Examples Are Not Bugs, They Are Features
Adversarial Examples Are Not Bugs, They Are Features
Andrew Ilyas
Shibani Santurkar
Dimitris Tsipras
Logan Engstrom
Brandon Tran
Aleksander Madry
SILM
95
1,845
0
06 May 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
107
570
0
18 Apr 2019
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
AAMLObjD
69
293
0
05 Jun 2018
YOLOv3: An Incremental Improvement
YOLOv3: An Incremental Improvement
Joseph Redmon
Ali Farhadi
ObjD
136
21,495
0
08 Apr 2018
Adversarial Patch
Adversarial Patch
Tom B. Brown
Dandelion Mané
Aurko Roy
Martín Abadi
Justin Gilmer
AAML
93
1,097
0
27 Dec 2017
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning
Battista Biggio
Fabio Roli
AAML
135
1,409
0
08 Dec 2017
Robust Physical-World Attacks on Deep Learning Models
Robust Physical-World Attacks on Deep Learning Models
Kevin Eykholt
Ivan Evtimov
Earlence Fernandes
Yue Liu
Amir Rahmati
Chaowei Xiao
Atul Prakash
Tadayoshi Kohno
Basel Alomair
AAML
101
595
0
27 Jul 2017
Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with
  JPEG Compression
Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression
Nilaksh Das
Madhuri Shanbhogue
Shang-Tse Chen
Fred Hohman
Li-Wei Chen
Michael E. Kounavis
Duen Horng Chau
AAML
72
307
0
08 May 2017
YOLO9000: Better, Faster, Stronger
YOLO9000: Better, Faster, Stronger
Joseph Redmon
Ali Farhadi
VLMObjD
183
15,641
0
25 Dec 2016
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAMLGAN
282
19,145
0
20 Dec 2014
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
293
14,968
1
21 Dec 2013
1