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Thundernna: a white box adversarial attack
v1v2 (latest)

Thundernna: a white box adversarial attack

24 November 2021
Linfeng Ye
Shayan Mohajer Hamidi
    AAML
ArXiv (abs)PDFHTML

Papers citing "Thundernna: a white box adversarial attack"

13 / 13 papers shown
Title
Generalizable Data-free Objective for Crafting Universal Adversarial
  Perturbations
Generalizable Data-free Objective for Crafting Universal Adversarial Perturbations
Konda Reddy Mopuri
Aditya Ganeshan
R. Venkatesh Babu
AAML
122
206
0
24 Jan 2018
BadNets: Identifying Vulnerabilities in the Machine Learning Model
  Supply Chain
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain
Tianyu Gu
Brendan Dolan-Gavitt
S. Garg
SILM
132
1,784
0
22 Aug 2017
Fast Feature Fool: A data independent approach to universal adversarial
  perturbations
Fast Feature Fool: A data independent approach to universal adversarial perturbations
Konda Reddy Mopuri
Utsav Garg
R. Venkatesh Babu
AAML
104
206
0
18 Jul 2017
Universal Adversarial Perturbations Against Semantic Image Segmentation
Universal Adversarial Perturbations Against Semantic Image Segmentation
J. H. Metzen
Mummadi Chaithanya Kumar
Thomas Brox
Volker Fischer
AAML
161
287
0
19 Apr 2017
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
484
3,148
0
04 Nov 2016
Universal adversarial perturbations
Universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
Omar Fawzi
P. Frossard
AAML
166
2,534
0
26 Oct 2016
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OODAAML
284
8,593
0
16 Aug 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILMAAML
551
5,914
0
08 Jul 2016
DeepFool: a simple and accurate method to fool deep neural networks
DeepFool: a simple and accurate method to fool deep neural networks
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
P. Frossard
AAML
160
4,910
0
14 Nov 2015
Analysis of classifiers' robustness to adversarial perturbations
Analysis of classifiers' robustness to adversarial perturbations
Alhussein Fawzi
Omar Fawzi
P. Frossard
AAML
103
361
0
09 Feb 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAMLGAN
284
19,145
0
20 Dec 2014
Deep Neural Networks are Easily Fooled: High Confidence Predictions for
  Unrecognizable Images
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
Anh Totti Nguyen
J. Yosinski
Jeff Clune
AAML
176
3,275
0
05 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
297
14,978
1
21 Dec 2013
1