| 2025 | ACSAC | Ransomware in Active Directory: A Dataset and Analysis of Early-Stage Behavior. | Prajna Bhandary, Charles Nicholas, Robert J. Joyce, Bojing Li |
| 2025 | DocEng | Issues in Document Security. | Charles Nicholas |
| 2025 | DocEng | Hierarchical Clustering of the SOREL Malware Corpus. | Raguvir S, Charles Nicholas |
| 2025 | ECAI | Large Language Models and Normalized Compression Distance: Better Compression Yet Worse Accuracy. | John Hurwitz, Charles Nicholas, Edward Raff |
| 2024 | DocEng | An Efficient PDF Malware Detection Method Using Highly Compact Features. | Ran Liu, Cynthia Matuszek, Charles Nicholas |
| 2024 | ICMLA | Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization. | Ryan Barron, Ves Grantcharov, Selma Wanna, Maksim Ekin Eren, Manish Bhattarai, Nicholas Solovyev, George Tompkins, Charles Nicholas, Kim . Rasmussen, Cynthia Matuszek, Boian S. Alexandrov |
| 2023 | CCS | AVScan2Vec: Feature Learning on Antivirus Scan Data for Production-Scale Malware Corpora. | Robert J. Joyce, Tirth Patel, Charles Nicholas, Edward Raff |
| 2023 | DocEng | A PDF Malware Detection Method Using Extremely Small Training Sample Size. | Ran Liu, Cynthia Matuszek, Charles Nicholas |
| 2023 | ISI | MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware. | Maksim Ekin Eren, Manish Bhattarai, Kim . Rasmussen, Boian S. Alexandrov, Charles Nicholas |
| 2022 | AAAI | Out of Distribution Data Detection Using Dropout Bayesian Neural Networks. | Andr T. Nguyen, Fred Lu, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt |
| 2022 | DocEng | SeNMFk-SPLIT: large corpora topic modeling by semantic non-negative matrix factorization with automatic model selection. | Maksim Ekin Eren, Nick Solovyev, Manish Bhattarai, Kim . Rasmussen, Charles Nicholas, Boian S. Alexandrov |
| 2022 | ICMLA | One-Shot Federated Group Collaborative Filtering. | Maksim Ekin Eren, Manish Bhattarai, Nicholas Solovyev, Luke E. Richards, Roberto Yus, Charles Nicholas, Boian S. Alexandrov |
| 2021 | CCS | A Framework for Cluster and Classifier Evaluation in the Absence of Reference Labels. | Robert J. Joyce, Edward Raff, Charles Nicholas |
| 2021 | DocEng | COVID-19 multidimensional kaggle literature organization. | Maksim Ekin Eren, Nick Solovyev, Chris Hamer, Renee McDonald, Boian S. Alexandrov, Charles Nicholas |
| 2021 | DocEng | Document engineering issues in malware analysis. | Charles Nicholas, Robert J. Joyce, Steve Simske |
| 2020 | AAAI | A New Burrows Wheeler Transform Markov Distance. | Edward Raff, Charles Nicholas, Mark McLean |
| 2020 | CCS | Automatic Yara Rule Generation Using Biclustering. | Edward Raff, Richard Zak, Gary Lopez Munoz, William Fleming, Hyrum S. Anderson, Bobby Filar, Charles Nicholas, James Holt |
| 2020 | DocEng | COVID-19 Kaggle Literature Organization. | Maksim Ekin Eren, Nick Solovyev, Edward Raff, Charles Nicholas, Ben Johnson |
| 2020 | DSAA | Cluster Quality Analysis Using Silhouette Score. | Ketan Rajshekhar Shahapure, Charles Nicholas |
| 2018 | CIKM | Engineering a Simplified 0-Bit Consistent Weighted Sampling. | Edward Raff, Jared Sylvester, Charles Nicholas |
| 2018 | DocEng | Hash-Grams: Faster N-Gram Features for Classification and Malware Detection. | Edward Raff, Charles Nicholas |
| 2017 | CCS | Malware Classification and Class Imbalance via Stochastic Hashed LZJD. | Edward Raff, Charles Nicholas |
| 2017 | CCS | Learning the PE Header, Malware Detection with Minimal Domain Knowledge. | Edward Raff, Jared Sylvester, Charles Nicholas |
| 1995 | CIKM | An Approach to Large Scale Distributed Information Systems Using Statistical Properties of Text to Guide Agent Search. | Grace Crowder, Charles Nicholas |
| 1982 | ICDCS | Guest Layer in Distributed Processing Support on Local Operating Systems. | Sandra A. Mamrak, P. Maurath, J. Gomez, S. Janardan, Charles Nicholas |