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Robustness of classifiers to universal perturbations: a geometric
  perspective
v1v2 (latest)

Robustness of classifiers to universal perturbations: a geometric perspective

26 May 2017
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
Omar Fawzi
P. Frossard
Stefano Soatto
    AAML
ArXiv (abs)PDFHTML

Papers citing "Robustness of classifiers to universal perturbations: a geometric perspective"

13 / 63 papers shown
Title
Attacking Convolutional Neural Network using Differential Evolution
Attacking Convolutional Neural Network using Differential EvolutionIPSJ Transactions on Computer Vision and Applications (IPSJ TCVA), 2018
Jiawei Su
Danilo Vasconcellos Vargas
Kouichi Sakurai
AAML
109
47
0
19 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
345
220
0
23 Mar 2018
Identify Susceptible Locations in Medical Records via Adversarial
  Attacks on Deep Predictive Models
Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models
Mengying Sun
Fengyi Tang
Jinfeng Yi
Fei Wang
Jiayu Zhou
AAMLOODMedIm
142
65
0
13 Feb 2018
Towards an Understanding of Neural Networks in Natural-Image Spaces
Towards an Understanding of Neural Networks in Natural-Image Spaces
Yifei Fan
A. Yezzi
AAMLGAN
85
2
0
27 Jan 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A
  Survey
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
Naveed Akhtar
Lin Wang
AAML
449
1,982
0
02 Jan 2018
Generative Adversarial Perturbations
Generative Adversarial Perturbations
Omid Poursaeed
Isay Katsman
Bicheng Gao
Serge J. Belongie
AAMLGANWIGM
366
383
0
06 Dec 2017
Butterfly Effect: Bidirectional Control of Classification Performance by
  Small Additive Perturbation
Butterfly Effect: Bidirectional Control of Classification Performance by Small Additive Perturbation
Y. Yoo
Seonguk Park
Junyoung Choi
Sangdoo Yun
Nojun Kwak
AAML
166
4
0
27 Nov 2017
Defense against Universal Adversarial Perturbations
Defense against Universal Adversarial Perturbations
Naveed Akhtar
Jian Liu
Lin Wang
AAML
313
212
0
16 Nov 2017
Machine vs Machine: Minimax-Optimal Defense Against Adversarial Examples
Machine vs Machine: Minimax-Optimal Defense Against Adversarial Examples
Jihun Hamm
Akshay Mehra
AAML
198
7
0
12 Nov 2017
One pixel attack for fooling deep neural networks
One pixel attack for fooling deep neural networksIEEE Transactions on Evolutionary Computation (IEEE TEVC), 2017
Jiawei Su
Danilo Vasconcellos Vargas
Kouichi Sakurai
AAML
559
2,486
0
24 Oct 2017
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural
  Networks without Training Substitute Models
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models
Pin-Yu Chen
Huan Zhang
Yash Sharma
Jinfeng Yi
Cho-Jui Hsieh
AAML
448
2,063
0
14 Aug 2017
Efficient Defenses Against Adversarial Attacks
Efficient Defenses Against Adversarial Attacks
Valentina Zantedeschi
Maria-Irina Nicolae
Ambrish Rawat
AAML
258
311
0
21 Jul 2017
MagNet: a Two-Pronged Defense against Adversarial Examples
MagNet: a Two-Pronged Defense against Adversarial Examples
Dongyu Meng
Hao Chen
AAML
182
1,265
0
25 May 2017
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