According to our database1, Richard Zak authored at least 5 papers between 2017 and 2019.
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KiloGrams: Very Large N-Grams for Malware Classification.
RelExt: relation extraction using deep learning approaches for cybersecurity knowledge graph improvement.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019
An investigation of byte n-gram features for malware classification.
J. Comput. Virol. Hacking Tech., 2018
Static Malware Detection & Subterfuge: Quantifying the Robustness of Machine Learning and Current Anti-Virus.
Proceedings of the AAAI Symposium on Adversary-Aware Learning Techniques and Trends in Cybersecurity (ALEC 2018) co-located with the Association for the Advancement of Artificial Intelligence 2018 Fall Symposium Series (AAAI-FSS 2018), 2018
What can N-grams learn for malware detection?
Proceedings of the 12th International Conference on Malicious and Unwanted Software, 2017