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Charles Nicholas

FedSPLIT: One-Shot Federated Recommendation System Based on Non-negative Joint Matrix Factorization and Knowledge Distillation


May 04, 2022
Maksim E. Eren, Luke E. Richards, Manish Bhattarai, Roberto Yus, Charles Nicholas, Boian S. Alexandrov

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* Pre-print - Under review 
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Out of Distribution Data Detection Using Dropout Bayesian Neural Networks


Feb 18, 2022
Andre T. Nguyen, Fred Lu, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt


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Rank-1 Similarity Matrix Decomposition For Modeling Changes in Antivirus Consensus Through Time


Dec 28, 2021
Robert J. Joyce, Edward Raff, Charles Nicholas

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MOTIF: A Large Malware Reference Dataset with Ground Truth Family Labels


Nov 29, 2021
Robert J. Joyce, Dev Amlani, Charles Nicholas, Edward Raff

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A Framework for Cluster and Classifier Evaluation in the Absence of Reference Labels


Sep 23, 2021
Robert J. Joyce, Edward Raff, Charles Nicholas

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* to appear in Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security 
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Leveraging Uncertainty for Improved Static Malware Detection Under Extreme False Positive Constraints


Aug 09, 2021
Andre T. Nguyen, Edward Raff, Charles Nicholas, James Holt

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COVID-19 Multidimensional Kaggle Literature Organization


Jul 20, 2021
Maksim E. Eren, Nick Solovyev, Chris Hamer, Renee McDonald, Boian S. Alexandrov, Charles Nicholas

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* Maksim E. Eren, Nick Solovyev, Chris Hamer, Renee McDonald, Boian S.Alexandrov, and Charles Nicholas. 2021. COVID-19 Multidimensional Kaggle Literature Organization. In ACM Symposium on Document Engineering 2021 
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Evading Malware Classifiers via Monte Carlo Mutant Feature Discovery


Jun 15, 2021
John Boutsikas, Maksim E. Eren, Charles Varga, Edward Raff, Cynthia Matuszek, Charles Nicholas

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* Presented at the Malware Technical Exchange Meeting, Online,2021. Copyright 2021 by the author(s) 
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Automatic Yara Rule Generation Using Biclustering


Sep 06, 2020
Edward Raff, Richard Zak, Gary Lopez Munoz, William Fleming, Hyrum S. Anderson, Bobby Filar, Charles Nicholas, James Holt

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* to be published in the 13th ACM Workshop on Artificial Intelligence and Security (AISec) 
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COVID-19 Kaggle Literature Organization


Sep 02, 2020
Maksim Ekin Eren, Nick Solovyev, Edward Raff, Charles Nicholas, Ben Johnson

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* Maksim Ekin Eren, Nick Solovyev, Edward Raff, Charles Nicholas, and Ben Johnson. 2020. COVID-19 Kaggle Literature Organization. In ACM Sym-posium on Document Engineering 2020 (DocEng 20), September 29-October2, 2020, Virtual Event, CA, USA.ACM, New York, NY, USA, 4 pages. https://doi.org/10.1145/3395027.3419591 
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A Survey of Machine Learning Methods and Challenges for Windows Malware Classification


Jun 15, 2020
Edward Raff, Charles Nicholas

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A New Burrows Wheeler Transform Markov Distance


Dec 30, 2019
Edward Raff, Charles Nicholas, Mark McLean

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* To appear in: The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) 
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KiloGrams: Very Large N-Grams for Malware Classification


Aug 01, 2019
Edward Raff, William Fleming, Richard Zak, Hyrum Anderson, Bill Finlayson, Charles Nicholas, Mark McLean

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* Appearing in LEMINCS @ KDD'19, August 5th, 2019, Anchorage, Alaska, United States 
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Engineering a Simplified 0-Bit Consistent Weighted Sampling


Oct 23, 2018
Edward Raff, Jared Sylvester, Charles Nicholas

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* In Proceedings of the 27th ACM International Conference on Information and Knowledge Management. (2018) 1203-1212 
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Static Malware Detection & Subterfuge: Quantifying the Robustness of Machine Learning and Current Anti-Virus


Jun 12, 2018
William Fleshman, Edward Raff, Richard Zak, Mark McLean, Charles Nicholas

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Toward Metric Indexes for Incremental Insertion and Querying


Jan 12, 2018
Edward Raff, Charles Nicholas

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Learning the PE Header, Malware Detection with Minimal Domain Knowledge


Nov 11, 2017
Edward Raff, Jared Sylvester, Charles Nicholas

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* Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security (2017) 121-132 
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Malware Detection by Eating a Whole EXE


Oct 25, 2017
Edward Raff, Jon Barker, Jared Sylvester, Robert Brandon, Bryan Catanzaro, Charles Nicholas

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