Charles Nicholas

Publication Activity (10 Years)

Years Active: 1982-2024
Publications (10 Years): 59

Top Topics

Automatic Model Selection

Malware Detection

Malicious Executables

Top Venues

Publications

Maksim Ekin Eren, Ryan Barron, Manish Bhattarai, Selma Wanna, Nicholas Solovyev, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas
Catch'em all: Classification of Rare, Prominent, and Novel Malware Families. CoRR (2024)
Maksim Ekin Eren, Ryan Barron, Manish Bhattarai, Selma Wanna, Nicholas Solovyev, Kim Ø. Rasmussen, Boian S. Alcxandrov, Charles Nicholas
Catch'em all: Classification of Rare, Prominent, and Novel Malware Families. ISDFS (2024)
Ryan Barron, Maksim Eken Eren, Manish Bhattarai, Selma Wanna, Nicholas Solovyev, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas, Cynthia Matuszek
Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization. CoRR (2024)
Ryan Barron, Maksim Ekin Eren, Manish Bhattarai, Selma Wanna, Nick Solovyev, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas, Cynthia Matuszek
Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization. ISDFS (2024)
Ran Liu, Robert J. Joyce, Cynthia Matuszek, Charles Nicholas
Evaluating Representativeness in PDF Malware Datasets: A Comparative Study and a New Dataset. BigData (2023)
Ran Liu, Charles Nicholas
IMCDCF: An Incremental Malware Detection Approach Using Hidden Markov Models. CoRR (2023)
Maksim Ekin Eren, Manish Bhattarai, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas
MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware. ISI (2023)
Maksim Ekin Eren, Manish Bhattarai, Robert J. Joyce, Edward Raff, Charles Nicholas, Boian S. Alexandrov
Semi-Supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection. ACM Trans. Priv. Secur. 26 (4) (2023)
Robert J. Joyce, Edward Raff, Charles Nicholas, James Holt
MalDICT: Benchmark Datasets on Malware Behaviors, Platforms, Exploitation, and Packers. CoRR (2023)
Ran Liu, Cynthia Matuszek, Charles Nicholas
A PDF Malware Detection Method Using Extremely Small Training Sample Size. DocEng (2023)
Tirth Patel, Fred Lu, Edward Raff, Charles Nicholas, Cynthia Matuszek, James Holt
Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits! CoRR (2023)
Robert J. Joyce, Edward Raff, Charles Nicholas, James Holt
MalDICT: Benchmark Datasets on Malware Behaviors, Platforms, Exploitation, and Packers. CAMLIS (2023)
Robert J. Joyce, Dev Amlani, Charles Nicholas, Edward Raff
MOTIF: A Malware Reference Dataset with Ground Truth Family Labels. Comput. Secur. 124 (2023)
Maksim Ekin Eren, Manish Bhattarai, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas
MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware. CoRR (2023)
Tirth Patel, Fred Lu, Edward Raff, Charles Nicholas, Cynthia Matuszek, James Holt
Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits! CAMLIS (2023)
Robert J. Joyce, Tirth Patel, Charles Nicholas, Edward Raff
AVScan2Vec: Feature Learning on Antivirus Scan Data for Production-Scale Malware Corpora. AISec@CCS (2023)
Robert J. Joyce, Tirth Patel, Charles Nicholas, Edward Raff
AVScan2Vec: Feature Learning on Antivirus Scan Data for Production-Scale Malware Corpora. CoRR (2023)
Ran Liu, Maksim Ekin Eren, Charles Nicholas
Can Feature Engineering Help Quantum Machine Learning for Malware Detection? CoRR (2023)
Maksim Ekin Eren, Manish Bhattarai, Robert J. Joyce, Edward Raff, Charles Nicholas, Boian S. Alexandrov
Semi-supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection. CoRR (2023)
Ran Liu, Charles Nicholas
A Feature Set of Small Size for the PDF Malware Detection. CoRR (2023)
Maksim Ekin Eren, Nick Solovyev, Manish Bhattarai, Kim Ø. Rasmussen, Charles Nicholas, Boian S. Alexandrov
SeNMFk-SPLIT: Large Corpora Topic Modeling by Semantic Non-negative Matrix Factorization with Automatic Model Selection. CoRR (2022)
Maksim Ekin Eren, Luke E. Richards, Manish Bhattarai, Roberto Yus, Charles Nicholas, Boian S. Alexandrov
FedSPLIT: One-Shot Federated Recommendation System Based on Non-negative Joint Matrix Factorization and Knowledge Distillation. CoRR (2022)
André T. Nguyen, Richard Zak, Luke E. Richards, Maya Fuchs, Fred Lu, Robert Brandon, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt
Minimizing Compute Costs: When Should We Run More Expensive Malware Analysis? CAMLIS (2022)
Robert J. Joyce, Edward Raff, Charles Nicholas
Rank-1 Similarity Matrix Decomposition For Modeling Changes in Antivirus Consensus Through Time. CoRR (2022)
Maksim Ekin Eren, Nick Solovyev, Manish Bhattarai, Kim Ø. Rasmussen, Charles Nicholas, Boian S. Alexandrov
SeNMFk-SPLIT: large corpora topic modeling by semantic non-negative matrix factorization with automatic model selection. DocEng (2022)
Maksim Ekin Eren, Manish Bhattarai, Nicholas Solovyev, Luke E. Richards, Roberto Yus, Charles Nicholas, Boian S. Alexandrov
One-Shot Federated Group Collaborative Filtering. ICMLA (2022)
André T. Nguyen, Fred Lu, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt
Out of Distribution Data Detection Using Dropout Bayesian Neural Networks. AAAI (2022)
André T. Nguyen, Fred Lu, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt
Out of Distribution Data Detection Using Dropout Bayesian Neural Networks. CoRR (2022)
Prajna Bhandary, Edward Zieglar, Charles Nicholas
Searching for Selfie in TLS 1.3 with the Cryptographic Protocol Shapes Analyzer. Protocols, Strands, and Logic (2021)
Robert J. Joyce, Dev Amlani, Charles Nicholas, Edward Raff
MOTIF: A Large Malware Reference Dataset with Ground Truth Family Labels. CoRR (2021)
Maksim Ekin Eren, Nick Solovyev, Chris Hamer, Renee McDonald, Boian S. Alexandrov, Charles Nicholas
COVID-19 Multidimensional Kaggle Literature Organization. CoRR (2021)
Maksim Ekin Eren, Nick Solovyev, Chris Hamer, Renee McDonald, Boian S. Alexandrov, Charles Nicholas
COVID-19 multidimensional kaggle literature organization. DocEng (2021)
André T. Nguyen, Edward Raff, Charles Nicholas, James Holt
Leveraging Uncertainty for Improved Static Malware Detection Under Extreme False Positive Constraints. CoRR (2021)
John Boutsikas, Maksim Ekin Eren, Charles K. Varga, Edward Raff, Cynthia Matuszek, Charles Nicholas
Evading Malware Classifiers via Monte Carlo Mutant Feature Discovery. CoRR (2021)
Charles Nicholas, Robert J. Joyce, Steve Simske
Document engineering issues in malware analysis. DocEng (2021)
Robert J. Joyce, Edward Raff, Charles Nicholas
A Framework for Cluster and Classifier Evaluation in the Absence of Reference Labels. CoRR (2021)
Robert J. Joyce, Edward Raff, Charles Nicholas
A Framework for Cluster and Classifier Evaluation in the Absence of Reference Labels. AISec@CCS (2021)
Edward Raff, Charles Nicholas, Mark McLean
A New Burrows Wheeler Transform Markov Distance. AAAI (2020)
Edward Raff, Richard Zak, Gary Lopez Munoz, William Fleming, Hyrum S. Anderson, Bobby Filar, Charles Nicholas, James Holt
Automatic Yara Rule Generation Using Biclustering. AISec@CCS (2020)
Ketan Rajshekhar Shahapure, Charles Nicholas
Cluster Quality Analysis Using Silhouette Score. DSAA (2020)
Edward Raff, Richard Zak, Gary Lopez Munoz, William Fleming, Hyrum S. Anderson, Bobby Filar, Charles Nicholas, James Holt
Automatic Yara Rule Generation Using Biclustering. CoRR (2020)
Edward Raff, Charles Nicholas
A Survey of Machine Learning Methods and Challenges for Windows Malware Classification. CoRR (2020)
Maksim Ekin Eren, Nick Solovyev, Edward Raff, Charles Nicholas, Ben Johnson
COVID-19 Kaggle Literature Organization. CoRR (2020)
Maksim Ekin Eren, Nick Solovyev, Edward Raff, Charles Nicholas, Ben Johnson
COVID-19 Kaggle Literature Organization. DocEng (2020)
Edward Raff, Charles Nicholas, Mark McLean
A New Burrows Wheeler Transform Markov Distance. CoRR (2019)
Edward Raff, Joe Aurelio, Charles Nicholas
PyLZJD: An Easy to Use Tool for Machine Learning. SciPy (2019)
Edward Raff, William Fleming, Richard Zak, Hyrum S. Anderson, Bill Finlayson, Charles Nicholas, Mark McLean
KiloGrams: Very Large N-Grams for Malware Classification. CoRR (2019)
Edward Raff, Jared Sylvester, Charles Nicholas
Engineering a Simplified 0-Bit Consistent Weighted Sampling. CoRR (2018)
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) (2018)
Edward Raff, Charles Nicholas
Toward Metric Indexes for Incremental Insertion and Querying. CoRR (2018)
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 (2018)
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)
Edward Raff, Charles Nicholas
Hash-Grams: Faster N-Gram Features for Classification and Malware Detection. DocEng (2018)
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)
Edward Raff, Jared Sylvester, Charles Nicholas
Engineering a Simplified 0-Bit Consistent Weighted Sampling. CIKM (2018)
Edward Raff, Charles Nicholas
Lempel-Ziv Jaccard Distance, an effective alternative to ssdeep and sdhash. Digit. Investig. 24 (2018)
Richard Zak, Edward Raff, Charles Nicholas
What can N-grams learn for malware detection? MALWARE (2017)
Edward Raff, Jared Sylvester, Charles Nicholas
Learning the PE Header, Malware Detection with Minimal Domain Knowledge. AISec@CCS (2017)
Edward Raff, Charles Nicholas
Malware Classification and Class Imbalance via Stochastic Hashed LZJD. AISec@CCS (2017)
Grace Crowder, Charles Nicholas
Using Statistical Properties of Text to Create Metadata. MD (1996)
Grace Crowder, Charles Nicholas
An Approach to Large Scale Distributed Information Systems Using Statistical Properties of Text to Guide Agent Search. CIKM Information Agents Workshop (1995)
Sandra A. Mamrak, P. Maurath, J. Gomez, S. Janardan, Charles Nicholas
Guest Layer in Distributed Processing Support on Local Operating Systems. ICDCS (1982)