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2020 – today
- 2023
[c9]Edward Raff, Mark McLean, James Holt:
An Easy Rejection Sampling Baseline via Gradient Refined Proposals. ECAI 2023: 1930-1937- 2021
- [c8]Edward Raff, William Fleshman, Richard Zak, Hyrum S. Anderson, Bobby Filar, Mark McLean:
Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection. AAAI 2021: 9386-9394 - [c7]Brian S. Robinson, Adam Polevoy, Sean McDaniel, Will Coon, Clara A. Scholl, Mark McLean, Erik Johnson:
A spiking network model for semantic representation and replay-based association acquisition. ICONS 2021: 25:1-25:8 - [c6]Ashwinkumar Ganesan, Hang Gao, Sunil Gandhi, Edward Raff, Tim Oates, James Holt, Mark McLean:
Learning with Holographic Reduced Representations. NeurIPS 2021: 25606-25620 - [i6]Ashwinkumar Ganesan, Hang Gao, Sunil Gandhi, Edward Raff, Tim Oates, James Holt, Mark McLean:
Learning with Holographic Reduced Representations. CoRR abs/2109.02157 (2021) - 2020
- [c5]Edward Raff
, Charles Nicholas, Mark McLean:
A New Burrows Wheeler Transform Markov Distance. AAAI 2020: 5444-5453 - [i5]Edward Raff, William Fleshman, Richard Zak, Hyrum S. Anderson, Bobby Filar, Mark McLean:
Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection. CoRR abs/2012.09390 (2020)
2010 – 2019
- 2019
- [c4]Edward Raff, Jared Sylvester, Steven Forsyth, Mark McLean:
Barrage of Random Transforms for Adversarially Robust Defense. CVPR 2019: 6528-6537 - [i4]Edward Raff, William Fleming, Richard Zak, Hyrum S. Anderson, Bill Finlayson, Charles Nicholas, Mark McLean:
KiloGrams: Very Large N-Grams for Malware Classification. CoRR abs/1908.00200 (2019) - [i3]Edward Raff, Charles Nicholas, Mark McLean:
A New Burrows Wheeler Transform Markov Distance. CoRR abs/1912.13046 (2019) - 2018
- [j1]Edward Raff, Richard Zak, Russell Cox, Jared Sylvester, Paul Yacci, Rebecca Ward, Anna Tracy, Mark McLean, Charles Nicholas:
An investigation of byte n-gram features for malware classification. J. Comput. Virol. Hacking Tech. 14(1): 1-20 (2018) - [c3]William Fleshman, Edward Raff, Richard Zak, Mark McLean, Charles Nicholas:
Static Malware Detection & Subterfuge: Quantifying the Robustness of Machine Learning and Current Anti-Virus. AAAI Fall Symposium: ALEC 2018: 3-10 - [c2]Edward Raff, Booz Allen Hamilton, Mark McLean:
Hash-Grams On Many-Cores and Skewed Distributions. IEEE BigData 2018: 158-165 - [c1]William Fleshman, Edward Raff, Richard Zak, Mark McLean, Charles Nicholas:
Static Malware Detection & Subterfuge: Quantifying the Robustness of Machine Learning and Current Anti-Virus. MALWARE 2018: 3-12 - [i2]William Fleshman, Edward Raff, Richard Zak, Mark McLean, Charles Nicholas:
Static Malware Detection & Subterfuge: Quantifying the Robustness of Machine Learning and Current Anti-Virus. CoRR abs/1806.04773 (2018) - [i1]William Fleshman, Edward Raff, Jared Sylvester, Steven Forsyth, Mark McLean:
Non-Negative Networks Against Adversarial Attacks. CoRR abs/1806.06108 (2018)
Coauthor Index
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