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Enhanced Malware Detection Using AI Technology

https://doi.org/10.2139/ssrn.4824948
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-50127-7_11openalex-extracted
Deep Learning for Classification of Malware System Call Sequences
inferredcites →https://doi.org/10.1007/s10994-010-5188-5openalex-extracted
The security of machine learning
inferredcites →https://doi.org/10.1016/s0925-2312(00)00324-6openalex-extracted
Reinforcement Learning: An Introduction
inferredcites →https://doi.org/10.1088/1742-5468/ab3985openalex-extracted
On the information bottleneck theory of deep learning*
inferredcites →https://doi.org/10.1109/cvpr.2016.308openalex-extracted
Rethinking the Inception Architecture for Computer Vision
inferredcites →https://doi.org/10.1109/sp.2012.14openalex-extracted
Prudent Practices for Designing Malware Experiments: Status Quo and Outlook
inferredcites →https://doi.org/10.1109/sp.2016.41openalex-extracted
Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks
inferredcites →https://doi.org/10.1109/sp.2017.49openalex-extracted
Towards Evaluating the Robustness of Neural Networks
inferredcites →https://doi.org/10.1145/1342211.1342215openalex-extracted
Mining specifications of malicious behavior
inferredcites →https://doi.org/10.1145/2046684.2046692openalex-extracted
Adversarial machine learning
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-extracted
Long Short-Term Memory
inferredcites →https://doi.org/10.13016/m2rt7w-bkokopenalex-extracted
Malware Detection by Eating a Whole EXE
inferredcites →https://doi.org/10.18653/v1/n16-1174openalex-extracted
Hierarchical Attention Networks for Document Classification
inferredcites →https://doi.org/10.21236/ada519143openalex-extracted
The Security of Machine Learning
inferredcites →https://doi.org/10.48550/arxiv.1312.6120openalex-extracted
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
inferredcites →https://doi.org/10.48550/arxiv.1312.6199openalex-extracted
Intriguing properties of neural networks
inferredcites →https://doi.org/10.48550/arxiv.1506.00019openalex-extracted
A Critical Review of Recurrent Neural Networks for Sequence Learning
inferredcites →https://doi.org/10.48550/arxiv.1702.06280openalex-extracted
On the (Statistical) Detection of Adversarial Examples
inferredcites →https://doi.org/10.48550/arxiv.1703.00410openalex-extracted
Detecting Adversarial Samples from Artifacts
inferredcites →https://doi.org/10.48550/arxiv.1902.06705openalex-extracted
On Evaluating Adversarial Robustness
inferredcites →https://doi.org/10.5555/1248547.1248646openalex-extracted
Learning to Detect and Classify Malicious Executables in the Wild
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