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Early Stage Malware Prediction Using Recurrent Neural Networks

Early Stage Malware Prediction Using Recurrent Neural Networks

11 August 2017
Matilda Rhode
Pete Burnap
K. Jones
    AAML
ArXivPDFHTML

Papers citing "Early Stage Malware Prediction Using Recurrent Neural Networks"

16 / 16 papers shown
Title
A Comparison of Static, Dynamic, and Hybrid Analysis for Malware
  Detection
A Comparison of Static, Dynamic, and Hybrid Analysis for Malware Detection
Anusha Damodaran
Fabio Di Troia
C. A. Visaggio
Thomas H. Austin
Mark Stamp
40
380
0
13 Mar 2022
On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A
  Deep Learning Approach
On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach
Weizhong Yan
Lijie Yu
AI4CE
49
146
0
25 Aug 2019
Generic Black-Box End-to-End Attack Against State of the Art API Call
  Based Malware Classifiers
Generic Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers
Ishai Rosenberg
A. Shabtai
Lior Rokach
Yuval Elovici
AAML
41
48
0
19 Jul 2017
Virtual Machine Introspection Based Malware Behavior Profiling and
  Family Grouping
Virtual Machine Introspection Based Malware Behavior Profiling and Family Grouping
Shun-Wen Hsiao
Yeali S. Sun
Meng Chang Chen
19
8
0
04 May 2017
Adversarial Perturbations Against Deep Neural Networks for Malware
  Classification
Adversarial Perturbations Against Deep Neural Networks for Malware Classification
Kathrin Grosse
Nicolas Papernot
Praveen Manoharan
Michael Backes
Patrick McDaniel
AAML
64
418
0
14 Jun 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed
  Systems
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi
Ashish Agarwal
P. Barham
E. Brevdo
Zhiwen Chen
...
Pete Warden
Martin Wattenberg
Martin Wicke
Yuan Yu
Xiaoqiang Zheng
257
11,145
0
14 Mar 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
1.1K
16,931
0
16 Feb 2016
Deep Neural Network Based Malware Detection Using Two Dimensional Binary
  Program Features
Deep Neural Network Based Malware Detection Using Two Dimensional Binary Program Features
Joshua Saxe
Konstantin Berlin
47
622
0
13 Aug 2015
A Critical Review of Recurrent Neural Networks for Sequence Learning
A Critical Review of Recurrent Neural Networks for Sequence Learning
Zachary Chase Lipton
John Berkowitz
Charles Elkan
79
2,337
0
29 May 2015
LSTM: A Search Space Odyssey
LSTM: A Search Space Odyssey
Klaus Greff
R. Srivastava
Jan Koutník
Bas R. Steunebrink
Jürgen Schmidhuber
AI4TS
VLM
112
5,290
0
13 Mar 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.6K
149,842
0
22 Dec 2014
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence
  Modeling
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
534
12,692
0
11 Dec 2014
Show and Tell: A Neural Image Caption Generator
Show and Tell: A Neural Image Caption Generator
Oriol Vinyals
Alexander Toshev
Samy Bengio
D. Erhan
3DV
225
6,018
0
17 Nov 2014
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
934
23,310
0
03 Jun 2014
Generating Sequences With Recurrent Neural Networks
Generating Sequences With Recurrent Neural Networks
Alex Graves
GAN
140
4,031
0
04 Aug 2013
Practical Bayesian Optimization of Machine Learning Algorithms
Practical Bayesian Optimization of Machine Learning Algorithms
Jasper Snoek
Hugo Larochelle
Ryan P. Adams
333
7,923
0
13 Jun 2012
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