Mark McLean

According to our database, Mark McLean authored at least 11 papers between 2018 and 2023.

Collaborative distances:

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

2023

An Easy Rejection Sampling Baseline via Gradient Refined Proposals.

Edward Raff, Mark McLean, James Holt

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2021

Learning with Holographic Reduced Representations.

Ashwinkumar Ganesan, Hang Gao, Sunil Gandhi, Edward Raff, Tim Oates, James Holt, Mark McLean

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A spiking network model for semantic representation and replay-based association acquisition.

Brian S. Robinson, Adam Polevoy, Sean McDaniel, Will Coon, Clara A. Scholl, Mark McLean, Erik Johnson

Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 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

A New Burrows Wheeler Transform Markov Distance.

Edward Raff, Charles Nicholas, Mark McLean

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 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

Barrage of Random Transforms for Adversarially Robust Defense.

Edward Raff, Jared Sylvester, Steven Forsyth, Mark McLean

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 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

Non-Negative Networks Against Adversarial Attacks.

William Fleshman, Edward Raff, Jared Sylvester, Steven Forsyth, Mark McLean

CoRR, 2018

Hash-Grams On Many-Cores and Skewed Distributions.

Edward Raff, Booz Allen Hamilton, Mark McLean

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 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