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Adversarial Filters for Secure Modulation Classification

Adversarial Filters for Secure Modulation Classification

15 August 2020
A. Berian
K. Staab
N. Teku
G. Ditzler
T. Bose
Ravi Tandon
    AAML
ArXivPDFHTML

Papers citing "Adversarial Filters for Secure Modulation Classification"

12 / 12 papers shown
Title
Frequency-based Automated Modulation Classification in the Presence of
  Adversaries
Frequency-based Automated Modulation Classification in the Presence of Adversaries
R. Sahay
Christopher G. Brinton
David J. Love
AAML
51
9
0
02 Nov 2020
Adversarial Attacks on Deep-Learning Based Radio Signal Classification
Adversarial Attacks on Deep-Learning Based Radio Signal Classification
Meysam Sadeghi
Erik G. Larsson
AAML
38
255
0
23 Aug 2018
Deep Learning for Launching and Mitigating Wireless Jamming Attacks
Deep Learning for Launching and Mitigating Wireless Jamming Attacks
T. Erpek
Y. Sagduyu
Yi Shi
AAML
33
192
0
03 Jul 2018
Deep Architectures for Modulation Recognition
Deep Architectures for Modulation Recognition
Nathan E. West
Tim O'Shea
36
401
0
27 Mar 2017
Universal adversarial perturbations
Universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
Omar Fawzi
P. Frossard
AAML
113
2,520
0
26 Oct 2016
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
170
8,513
0
16 Aug 2016
The Limitations of Deep Learning in Adversarial Settings
The Limitations of Deep Learning in Adversarial Settings
Nicolas Papernot
Patrick McDaniel
S. Jha
Matt Fredrikson
Z. Berkay Celik
A. Swami
AAML
66
3,947
0
24 Nov 2015
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
95
4,878
0
14 Nov 2015
A Primer on Neural Network Models for Natural Language Processing
A Primer on Neural Network Models for Natural Language Processing
Yoav Goldberg
AI4CE
79
1,131
0
02 Oct 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
846
149,474
0
22 Dec 2014
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
176
18,922
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
185
14,831
1
21 Dec 2013
1