DeNNeS: deep embedded neural network expert system for detecting cyber attacks

Application of Deep Learning to Cybersecurity: A Survey

(2019) Samaneh Mahdavifar et al.   NEUROCOMPUTING

An Android mutation malware detection based on deep learning using visualization of importance from codes

(2019) Yao-Saint Yen et al.   MICROELECTRONICS RELIABILITY

Early-stage malware prediction using recurrent neural networks

(2018) Matilda Rhode et al.   COMPUTERS & SECURITY

MalDozer: Automatic framework for android malware detection using deep learning

(2018) ElMouatez Billah Karbab et al.   Digital Investigation

Recursive Rule Extraction from NN using Reverse Engineering Technique

(2018) Manomita Chakraborty et al.   NEW GENERATION COMPUTING

A rule generation algorithm from neural network using classified and misclassified data

(2018) Saroj Kr. Biswas et al.   International Journal of Bio-Inspired Computation

Effective android malware detection with a hybrid model based on deep autoencoder and convolutional neural network

(2018) Wei Wang et al.   Journal of Ambient Intelligence and Humanized Computing

Planning chemical syntheses with deep neural networks and symbolic AI

(2018) Marwin H. S. Segler et al.   NATURE

A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks

(2017) Chuanlong Yin et al.   IEEE Access

Deep learning in bioinformatics

(2016) Seonwoo Min et al.   BRIEFINGS IN BIOINFORMATICS

Regional deep learning model for visual tracking

(2016) Guoxing Wu et al.   NEUROCOMPUTING

A deep learning approach for detecting malicious JavaScript code

(2016) Yao Wang et al.   Security and Communication Networks

CANN: An intrusion detection system based on combining cluster centers and nearest neighbors

(2015) Wei-Chao Lin et al.   KNOWLEDGE-BASED SYSTEMS

Deep learning

(2015) Yann LeCun et al.   NATURE

Audio-visual speech recognition using deep learning

(2014) Kuniaki Noda et al.   APPLIED INTELLIGENCE

A novel hybrid KPCA and SVM with GA model for intrusion detection

(2014) Fangjun Kuang et al.   APPLIED SOFT COMPUTING

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

(2012) Geoffrey Hinton et al.   IEEE SIGNAL PROCESSING MAGAZINE

Reverse Engineering the Neural Networks for Rule Extraction in Classification Problems

(2011) M. Gethsiyal Augasta et al.   NEURAL PROCESSING LETTERS

Deep Learning and Its Applications to Signal and Information Processing [Exploratory DSP

(2010) Dong Yu et al.   IEEE SIGNAL PROCESSING MAGAZINE

Understanding Android Security

(2009) William Enck et al.   IEEE SECURITY & PRIVACY

Recursive Neural Network Rule Extraction for Data With Mixed Attributes

(2008) R. Setiono et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Rule extraction from trained adaptive neural networks using artificial immune systems

(2007) Humar Kahramanli et al.   EXPERT SYSTEMS WITH APPLICATIONS