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Detecting DGA domains with recurrent neural networks and side
  information
v1v2 (latest)

Detecting DGA domains with recurrent neural networks and side information

4 October 2018
Ryan R. Curtin
Andrew B. Gardner
Slawomir Grzonkowski
A. Kleymenov
Alejandro Mosquera
    AAML
ArXiv (abs)PDFHTML

Papers citing "Detecting DGA domains with recurrent neural networks and side information"

15 / 15 papers shown
Title
Intercepting Hail Hydra: Real-Time Detection of Algorithmically
  Generated Domains
Intercepting Hail Hydra: Real-Time Detection of Algorithmically Generated Domains
Fran Casino
Nikolaos Lykousas
I. Homoliak
Constantinos Patsakis
J. Castro
47
19
0
06 Aug 2020
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text
Nicholas Carlini
D. Wagner
AAML
97
1,083
0
05 Jan 2018
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection
  Methods
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods
Nicholas Carlini
D. Wagner
AAML
131
1,864
0
20 May 2017
Detecting Adversarial Samples from Artifacts
Detecting Adversarial Samples from Artifacts
Reuben Feinman
Ryan R. Curtin
S. Shintre
Andrew B. Gardner
AAML
93
894
0
01 Mar 2017
Predicting Domain Generation Algorithms with Long Short-Term Memory
  Networks
Predicting Domain Generation Algorithms with Long Short-Term Memory Networks
Jonathan Woodbridge
Hyrum S. Anderson
A. Ahuja
Daniel Grant
50
230
0
02 Nov 2016
DeepDGA: Adversarially-Tuned Domain Generation and Detection
DeepDGA: Adversarially-Tuned Domain Generation and Detection
Hyrum S. Anderson
Jonathan Woodbridge
Bobby Filar
AAML
67
202
0
06 Oct 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNNAI4CE
433
18,361
0
27 May 2016
Optimal whitening and decorrelation
Optimal whitening and decorrelation
A. Kessy
A. Lewin
K. Strimmer
46
404
0
02 Dec 2015
Distillation as a Defense to Adversarial Perturbations against Deep
  Neural Networks
Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks
Nicolas Papernot
Patrick McDaniel
Xi Wu
S. Jha
A. Swami
AAML
113
3,077
0
14 Nov 2015
Visualizing and Understanding Recurrent Networks
Visualizing and Understanding Recurrent Networks
A. Karpathy
Justin Johnson
Li Fei-Fei
HAI
126
1,101
0
05 Jun 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAMLGAN
280
19,107
0
20 Dec 2014
Neural Turing Machines
Neural Turing Machines
Alex Graves
Greg Wayne
Ivo Danihelka
103
2,331
0
20 Oct 2014
Recurrent Models of Visual Attention
Recurrent Models of Visual Attention
Volodymyr Mnih
N. Heess
Alex Graves
Koray Kavukcuoglu
VLM
158
3,657
0
24 Jun 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
280
14,961
1
21 Dec 2013
On the difficulty of training Recurrent Neural Networks
On the difficulty of training Recurrent Neural Networks
Razvan Pascanu
Tomas Mikolov
Yoshua Bengio
ODL
204
5,360
0
21 Nov 2012
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