Richard Zak

According to our database, Richard Zak authored at least 9 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2022

Minimizing Compute Costs: When Should We Run More Expensive Malware Analysis?

André T. Nguyen, Richard Zak, Luke E. Richards, Maya Fuchs, Fred Lu, Robert Brandon, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt

Proceedings of the Conference on Applied Machine Learning in Information Security, 2022

2021

Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection.

Edward Raff, William Fleshman, Richard Zak, Hyrum S. Anderson, Bobby Filar, Mark McLean

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Creating Cybersecurity Knowledge Graphs From Malware After Action Reports.

Aritran Piplai, Sudip Mittal, Anupam Joshi, Tim Finin, James Holt, Richard Zak

IEEE Access, 2020

Automatic Yara Rule Generation Using Biclustering.

Edward Raff, Richard Zak, Gary Lopez Munoz, William Fleming, Hyrum S. Anderson, Bobby Filar, Charles Nicholas, James Holt

Proceedings of the AISec@CCS 2020: Proceedings of the 13th ACM Workshop on Artificial Intelligence and Security, 2020

2019

KiloGrams: Very Large N-Grams for Malware Classification.

Edward Raff, William Fleming, Richard Zak, Hyrum S. Anderson, Bill Finlayson, Charles Nicholas, Mark McLean

CoRR, 2019

RelExt: relation extraction using deep learning approaches for cybersecurity knowledge graph improvement.

Aditya Pingle, Aritran Piplai, Sudip Mittal, Anupam Joshi, James Holt, Richard Zak

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018

An investigation of byte n-gram features for malware classification.

Edward Raff, Richard Zak, Russell Cox, Jared Sylvester, Paul Yacci, Rebecca Ward, Anna Tracy, Mark McLean, Charles Nicholas

J. Comput. Virol. Hacking Tech., 2018

Static Malware Detection & Subterfuge: Quantifying the Robustness of Machine Learning and Current Anti-Virus.

William Fleshman, Edward Raff, Richard Zak, Mark McLean, Charles Nicholas

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

2017

What can N-grams learn for malware detection?

Richard Zak, Edward Raff, Charles Nicholas

Proceedings of the 12th International Conference on Malicious and Unwanted Software, 2017