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Robustness of classifiers to universal perturbations: a geometric
  perspective

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
ArXivPDFHTML

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

13 / 13 papers shown
Title
On the (Non-)Robustness of Two-Layer Neural Networks in Different
  Learning Regimes
On the (Non-)Robustness of Two-Layer Neural Networks in Different Learning Regimes
Elvis Dohmatob
A. Bietti
AAML
21
13
0
22 Mar 2022
Advances in adversarial attacks and defenses in computer vision: A
  survey
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Ajmal Saeed Mian
Navid Kardan
M. Shah
AAML
26
235
0
01 Aug 2021
Attack to Fool and Explain Deep Networks
Attack to Fool and Explain Deep Networks
Naveed Akhtar
M. Jalwana
Bennamoun
Ajmal Saeed Mian
AAML
14
33
0
20 Jun 2021
A Survey On Universal Adversarial Attack
A Survey On Universal Adversarial Attack
Chaoning Zhang
Philipp Benz
Chenguo Lin
Adil Karjauv
Jing Wu
In So Kweon
AAML
19
90
0
02 Mar 2021
TrojanZoo: Towards Unified, Holistic, and Practical Evaluation of Neural
  Backdoors
TrojanZoo: Towards Unified, Holistic, and Practical Evaluation of Neural Backdoors
Ren Pang
Zheng-Wei Zhang
Xiangshan Gao
Zhaohan Xi
S. Ji
Peng Cheng
Xiapu Luo
Ting Wang
AAML
27
31
0
16 Dec 2020
Achieving Adversarial Robustness Requires An Active Teacher
Achieving Adversarial Robustness Requires An Active Teacher
Chao Ma
Lexing Ying
19
1
0
14 Dec 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey
Adversarial Examples on Object Recognition: A Comprehensive Survey
A. Serban
E. Poll
Joost Visser
AAML
22
73
0
07 Aug 2020
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve
  Adversarial Robustness
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness
Ahmadreza Jeddi
M. Shafiee
Michelle Karg
C. Scharfenberger
A. Wong
OOD
AAML
50
63
0
02 Mar 2020
Universal adversarial examples in speech command classification
Universal adversarial examples in speech command classification
Jon Vadillo
Roberto Santana
AAML
29
29
0
22 Nov 2019
A Black-box Attack on Neural Networks Based on Swarm Evolutionary
  Algorithm
A Black-box Attack on Neural Networks Based on Swarm Evolutionary Algorithm
Xiaolei Liu
Yuheng Luo
Xiaosong Zhang
Qingxin Zhu
AAML
16
16
0
26 Jan 2019
Are You Tampering With My Data?
Are You Tampering With My Data?
Michele Alberti
Vinaychandran Pondenkandath
Marcel Würsch
Manuel Bouillon
Mathias Seuret
Rolf Ingold
Marcus Liwicki
AAML
18
19
0
21 Aug 2018
With Friends Like These, Who Needs Adversaries?
With Friends Like These, Who Needs Adversaries?
Saumya Jetley
Nicholas A. Lord
Philip H. S. Torr
AAML
6
70
0
11 Jul 2018
MagNet: a Two-Pronged Defense against Adversarial Examples
MagNet: a Two-Pronged Defense against Adversarial Examples
Dongyu Meng
Hao Chen
AAML
11
1,196
0
25 May 2017
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