Semantic embeddings for program behavior patterns

Scalable, behavior-based malware clustering

Ulrich Bayer, Paolo Milani Comparetti, Clemens Hlauschek, Christopher Kruegel, and Engin Kirda · 2009

Earlier work this paper cites.

Distributed representations of words and phrases and their compositionality

Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S. Corrado, and Jeff Dean · 2013

Earlier work this paper cites.

Malicious behavior detection using windows audit logs

Konstantin Berlin, David Slater, and Joshua Saxe · 2015

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Adam: A method for stochastic optimization

Diederik P. Kingma and Jimmy Ba · 2015

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Malware classification with recurrent networks

Razvan Pascanu, Jack W. Stokes, Hermineh Sanossian, Mady Marinescu, and Anil Thomas · 2015

Cited alongside, same era.

Deep graph kernels

Original

Pinar Yanardag and S.V.N. Vishwanathan · 2015

Cited alongside, same era.

Xgboost: A scalable tree boosting system

Tianqi Chen and Carlos Guestrin · 2016

Cited alongside, same era.

Node2vec: Scalable feature learning for networks

Aditya Grover and Jure Leskovec · 2016

Cited alongside, same era.

Mtnet: a multi-task neural network for dynamic malware classification

Wenyi Huang and Jack W. Stokes · 2016

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Deep learning for classification of malware system call sequences

Bojan Kolosnjaji, Apostolis Zarras, George Webster, and Claudia Eckert · 2016

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subgraph2vec: Learning distributed representations of rooted sub-graphs from large graphs

Original

Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen, Yang Liu, and Santhoshkumar Saminathan · 2016

Later among the works it cites.

MAAR: Robust features to detect malicious activity based on API calls, their arguments and return values

Zahra Salehi, Ashkan Sami, and Mahboobe Ghiasi · 2017

Later among the works it cites.