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2010.03300
Cited By
CD-UAP: Class Discriminative Universal Adversarial Perturbation
7 October 2020
Chaoning Zhang
Philipp Benz
Tooba Imtiaz
In So Kweon
AAML
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Papers citing
"CD-UAP: Class Discriminative Universal Adversarial Perturbation"
23 / 23 papers shown
Title
Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization
Yize Zhang
Yingzhe Xu
Junyu Shi
L. Zhang
Shengshan Hu
Minghui Li
Yanjun Zhang
AAML
122
1
0
17 Mar 2025
Universal Adversarial Perturbations for Speech Recognition Systems
Paarth Neekhara
Shehzeen Samarah Hussain
Prakhar Pandey
Shlomo Dubnov
Julian McAuley
F. Koushanfar
AAML
58
117
0
09 May 2019
Ask, Acquire, and Attack: Data-free UAP Generation using Class Impressions
Konda Reddy Mopuri
P. Uppala
R. Venkatesh Babu
AAML
62
85
0
03 Aug 2018
Understanding and Enhancing the Transferability of Adversarial Examples
Lei Wu
Zhanxing Zhu
Cheng Tai
E. Weinan
AAML
SILM
67
99
0
27 Feb 2018
Generalizable Data-free Objective for Crafting Universal Adversarial Perturbations
Konda Reddy Mopuri
Aditya Ganeshan
R. Venkatesh Babu
AAML
102
206
0
24 Jan 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
Naveed Akhtar
Ajmal Mian
AAML
91
1,867
0
02 Jan 2018
Adversarial Patch
Tom B. Brown
Dandelion Mané
Aurko Roy
Martín Abadi
Justin Gilmer
AAML
70
1,095
0
27 Dec 2017
Adversarial Examples: Attacks and Defenses for Deep Learning
Xiaoyong Yuan
Pan He
Qile Zhu
Xiaolin Li
SILM
AAML
86
1,622
0
19 Dec 2017
Generative Adversarial Perturbations
Omid Poursaeed
Isay Katsman
Bicheng Gao
Serge J. Belongie
AAML
GAN
WIGM
67
355
0
06 Dec 2017
Art of singular vectors and universal adversarial perturbations
Valentin Khrulkov
Ivan Oseledets
AAML
51
132
0
11 Sep 2017
Fast Feature Fool: A data independent approach to universal adversarial perturbations
Konda Reddy Mopuri
Utsav Garg
R. Venkatesh Babu
AAML
80
206
0
18 Jul 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILM
OOD
285
12,060
0
19 Jun 2017
Universal Adversarial Perturbations Against Semantic Image Segmentation
J. H. Metzen
Mummadi Chaithanya Kumar
Thomas Brox
Volker Fischer
AAML
119
287
0
19 Apr 2017
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
461
3,140
0
04 Nov 2016
Universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
Omar Fawzi
P. Frossard
AAML
130
2,527
0
26 Oct 2016
A Boundary Tilting Persepective on the Phenomenon of Adversarial Examples
T. Tanay
Lewis D. Griffin
AAML
81
271
0
27 Aug 2016
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
245
8,548
0
16 Aug 2016
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.1K
193,814
0
10 Dec 2015
DeepFool: a simple and accurate method to fool deep neural networks
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
P. Frossard
AAML
142
4,895
0
14 Nov 2015
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.7K
150,006
0
22 Dec 2014
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
252
19,045
0
20 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,330
0
04 Sep 2014
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
255
14,912
1
21 Dec 2013
1