deep-learning-security-papers

http://www.covert.io/deep-learning-security-papers/

Deep Learning Papers on Security

• A Deep Learning Approach for Network Intrusion Detection System
• A Hybrid Malicious Code Detection Method based on Deep Learning
• A Hybrid Spectral Clustering and Deep Neural Network Ensemble Algorithm for Intrusion Detection in Sensor Networks
• A Multi-task Learning Model for Malware Classification with Useful File Access Pattern from API Call Sequence
• A Novel LSTM-RNN Decoding Algorithm in CAPTCHA Recognition (Short paper)
• An Analysis of Recurrent Neural Networks for Botnet Detection Behavior
• Application of Recurrent Neural Networks for User Verification based on Keystroke Dynamics
• Applications of Deep Learning On Traffic Identification (video: here)
• Combining Restricted Boltzmann Machine and One Side Perceptron for Malware Detection
• Comparison Deep Learning Method to Traditional Methods Using for Network Intrusion Detection (short paper)
• Convolutional Neural Networks for Malware Classification (THESIS)
• Deep Learning Approach for Network Intrusion Detection in Software Defined Networking
• Deep Learning for Classification of Malware System Call Sequences
• Deep Learning for Zero-day Flash Malware Detection (Short Paper)
• Deep Learning is a Good Steganalysis Tool When Embedding Key is Reused for Different Images, even if there is a cover source mismatch
• Deep Learning-based Feature Selection for Intrusion Detection System in Transport Layer (Short Paper)
• Deep Neural Network Based Malware Detection using Two Dimensional Binary Program Features
• DeepDGA: Adversarially-Tuned Domain Generation and Detection
• DeepSign: Deep Learning for Automatic Malware Signature Generation and Classification
• DL4MD: A Deep Learning Framework for Intelligent Malware Detection
• Droid-Sec: Deep Learning in Android Malware Detection
• DroidDetector: Android Malware Characterization and Detection using Deep Learning
• HADM: Hybrid Analysis for Detection of Malware
• Identifying Top Sellers In Underground Economy Using Deep Learning-based Sentiment Analysis
• Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security
• Large-scale Malware Classification using Random Projections and Neural Networks
• Learning a Static Analyzer: A Case Study on a Toy Language
• Learning Spam Features using Restricted Boltzmann Machines
• Long Short Term Memory Recurrent Neural Network Classifier for Intrusion Detection
• LSTM-based System-call Language Modeling and Robust Ensemble Method for Designing Host-based Intrusion Detection Systems
• Malware Classification on Time Series Data Through Machine Learning (THESIS)
• Malware Classification with Recurrent Networks
• Malware Detection with Deep Neural Network using Process Behavior
• MS-LSTM: a Multi-Scale LSTM Model for BGP Anomaly Detection
• MtNet: A Multi-Task Neural Network for Dynamic Malware Classification
• Network Anomaly Detection with the Restricted Boltzmann Machine
• Predicting Domain Generation Algorithms with Long Short-Term Memory Networks
• Recognizing Functions in Binaries with Neural Networks
• The Limitations of Deep Learning in Adversarial Settings
• Toward large-scale vulnerability discovery using Machine Learning

Deep Learning Presentations on Security

• A Deep Learning Approach for Network Intrusion Detection System
• Deep Learning on Disassembly Data (video: here)

Security Machine Learning Resources:

• Security Data Science Papers
• Interesting security papers
• awesome-ml-for-cybersecurity project on Github
• mlsecproject
• Getting Started With Machine Learning for Incident Detection (code examples here).

General Deep Learning Resources:

• deep-learning-papers project on Github
• Deep-Learning-Papers-Reading-Roadmap project on Github
• awesome-deep-learning-papers project on Github
• deeplearning.net Reading List
• Deep Learning Patterns
• International Conference on Learning Representations (ICLR) 2017 Conference CFP