Charles Nicholas

80 papers A* 2A 3B 14C 3Journal 37Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Temporal Behavioral Archetypes of Ransomware in Active Directory Environments. ISDFS Prajna Bhandary, Charles Nicholas
2025	—	`conf`	A Behavioral Analysis of Ransomware in Active Directory: A Case Study of BlackMatter, Conti, LockBit, and Midnight. ISDFS Prajna Bhandary, Charles Nicholas
2025	B	`conf`	Analyzing the Impact of Outliers in Malware Clustering. IEEE Big Data Bharath Kumar Swargam, Prajna Bhandary, Charles Nicholas
2025	B	`conf`	Hierarchical Clustering of the SOREL Malware Corpus. DocEng Raguvir S, Charles Nicholas
2025	B	`conf`	Issues in Document Security. DocEng Charles Nicholas
2025	A	`conf`	Large Language Models and Normalized Compression Distance: Better Compression Yet Worse Accuracy. ECAI John Hurwitz, Charles Nicholas, Edward Raff
2025	J	`jnl`	MASCOT: Analyzing Malware Evolution Through A Well-Curated Source Code Dataset. CoRR Bojing Li, Duo Zhong, Dharani Nadendla, Gabriel Terceros, Prajna Bhandary, Raguvir S, Charles Nicholas
2025	B	`conf`	MASCOT: Analyzing Malware Evolution Through a Well-Curated Source Code Dataset. IEEE Big Data Bojing Li, Duo Zhong, Dharani Nadendla, Gabriel Terceros, Prajna Bhandary, Raguvir S, Charles Nicholas
2025	J	`jnl`	Non-Negative Matrix Factorization Using Non-Von Neumann Computers. CoRR Ajinkya Borle, Charles Nicholas, Uchenna Chukwu, Mohammad-Ali Miri, Nicholas Chancellor
2025	—	`conf`	Ransomware in Active Directory: A Dataset and Analysis of Early-Stage Behavior. ACSAC Workshops Prajna Bhandary, Charles Nicholas, Robert J. Joyce, Bojing Li
2025	J	`jnl`	Symbolic Execution in Practice: A Survey of Applications in Vulnerability, Malware, Firmware, and Protocol Analysis. CoRR Joshua Bailey, Charles Nicholas
2024	B	`conf`	An Efficient PDF Malware Detection Method Using Highly Compact Features. DocEng Ran Liu, Cynthia Matuszek, Charles Nicholas
2024	—	`conf`	Catch'em all: Classification of Rare, Prominent, and Novel Malware Families. ISDFS Maksim Ekin Eren, Ryan Barron, Manish Bhattarai, Selma Wanna, Nicholas Solovyev, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas
2024	J	`jnl`	Catch'em all: Classification of Rare, Prominent, and Novel Malware Families. CoRR Maksim Ekin Eren, Ryan Barron, Manish Bhattarai, Selma Wanna, Nicholas Solovyev, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas
2024	—	`conf`	Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization. ISDFS Ryan Barron, Maksim Ekin Eren, Manish Bhattarai, Selma Wanna, Nick Solovyev, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas, Cynthia Matuszek
2024	J	`jnl`	Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization. CoRR Ryan Barron, Maksim Ekin Eren, Manish Bhattarai, Selma Wanna, Nicholas Solovyev, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas, Cynthia Matuszek
2024	C	`conf`	Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization. ICMLA Ryan Barron, Ves Grantcharov, Selma Wanna, Maksim Ekin Eren, Manish Bhattarai, Nicholas Solovyev, George Tompkins, Charles Nicholas, Kim Ø. Rasmussen, Cynthia Matuszek, Boian S. Alexandrov
2024	J	`jnl`	Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization. CoRR Ryan Barron, Ves Grantcharov, Selma Wanna, Maksim Ekin Eren, Manish Bhattarai, Nick Solovyev, George Tompkins, Charles Nicholas, Kim Ø. Rasmussen, Cynthia Matuszek, Boian S. Alexandrov
2024	B	`conf`	Living off the Analyst: Harvesting Features from Yara Rules for Malware Detection. IEEE Big Data Siddhant Gupta, Fred Lu, Andrew Barlow, Edward Raff, Francis Ferraro, Cynthia Matuszek, Charles Nicholas, James Holt
2024	J	`jnl`	Living off the Analyst: Harvesting Features from Yara Rules for Malware Detection. CoRR Siddhant Gupta, Fred Lu, Andrew Barlow, Edward Raff, Francis Ferraro, Cynthia Matuszek, Charles Nicholas, James Holt
2024	J	`jnl`	Neural Normalized Compression Distance and the Disconnect Between Compression and Classification. CoRR John Hurwitz, Charles Nicholas, Edward Raff
2024	—	`conf`	Ransomware Evolution: Unveiling Patterns Using HDBSCAN. CAMLIS Prajna Bhandary, Robert J. Joyce, Charles Nicholas
2023	J	`jnl`	A Feature Set of Small Size for the PDF Malware Detection. CoRR Ran Liu, Charles Nicholas
2023	B	`conf`	A PDF Malware Detection Method Using Extremely Small Training Sample Size. DocEng Ran Liu, Cynthia Matuszek, Charles Nicholas
2023	—	`conf`	AVScan2Vec: Feature Learning on Antivirus Scan Data for Production-Scale Malware Corpora. AISec@CCS Robert J. Joyce, Tirth Patel, Charles Nicholas, Edward Raff
2023	J	`jnl`	AVScan2Vec: Feature Learning on Antivirus Scan Data for Production-Scale Malware Corpora. CoRR Robert J. Joyce, Tirth Patel, Charles Nicholas, Edward Raff
2023	J	`jnl`	Can Feature Engineering Help Quantum Machine Learning for Malware Detection? CoRR Ran Liu, Maksim Ekin Eren, Charles Nicholas
2023	B	`conf`	Evaluating Representativeness in PDF Malware Datasets: A Comparative Study and a New Dataset. IEEE Big Data Ran Liu, Robert J. Joyce, Cynthia Matuszek, Charles Nicholas
2023	J	`jnl`	IMCDCF: An Incremental Malware Detection Approach Using Hidden Markov Models. CoRR Ran Liu, Charles Nicholas
2023	J	`jnl`	MOTIF: A Malware Reference Dataset with Ground Truth Family Labels. Comput. Secur. Robert J. Joyce, Dev Amlani, Charles Nicholas, Edward Raff
2023	—	`conf`	MalDICT: Benchmark Datasets on Malware Behaviors, Platforms, Exploitation, and Packers. CAMLIS Robert J. Joyce, Edward Raff, Charles Nicholas, James Holt
2023	J	`jnl`	MalDICT: Benchmark Datasets on Malware Behaviors, Platforms, Exploitation, and Packers. CoRR Robert J. Joyce, Edward Raff, Charles Nicholas, James Holt
2023	C	`conf`	MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware. ISI Maksim Ekin Eren, Manish Bhattarai, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas
2023	J	`jnl`	MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware. CoRR Maksim Ekin Eren, Manish Bhattarai, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas
2023	J	`jnl`	Semi-Supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection. ACM Trans. Priv. Secur. Maksim Ekin Eren, Manish Bhattarai, Robert J. Joyce, Edward Raff, Charles Nicholas, Boian S. Alexandrov
2023	J	`jnl`	Semi-supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection. CoRR Maksim Ekin Eren, Manish Bhattarai, Robert J. Joyce, Edward Raff, Charles Nicholas, Boian S. Alexandrov
2023	—	`conf`	Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits! CAMLIS Tirth Patel, Fred Lu, Edward Raff, Charles Nicholas, Cynthia Matuszek, James Holt
2023	J	`jnl`	Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits! CoRR Tirth Patel, Fred Lu, Edward Raff, Charles Nicholas, Cynthia Matuszek, James Holt
2022	J	`jnl`	FedSPLIT: One-Shot Federated Recommendation System Based on Non-negative Joint Matrix Factorization and Knowledge Distillation. CoRR Maksim Ekin Eren, Luke E. Richards, Manish Bhattarai, Roberto Yus, Charles Nicholas, Boian S. Alexandrov
2022	—	`conf`	Minimizing Compute Costs: When Should We Run More Expensive Malware Analysis? CAMLIS André T. Nguyen, Richard Zak, Luke E. Richards, Maya Fuchs, Fred Lu, Robert Brandon, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt
2022	C	`conf`	One-Shot Federated Group Collaborative Filtering. ICMLA Maksim Ekin Eren, Manish Bhattarai, Nicholas Solovyev, Luke E. Richards, Roberto Yus, Charles Nicholas, Boian S. Alexandrov
2022	A*	`conf`	Out of Distribution Data Detection Using Dropout Bayesian Neural Networks. AAAI André T. Nguyen, Fred Lu, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt
2022	J	`jnl`	Out of Distribution Data Detection Using Dropout Bayesian Neural Networks. CoRR André T. Nguyen, Fred Lu, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt
2022	J	`jnl`	Rank-1 Similarity Matrix Decomposition For Modeling Changes in Antivirus Consensus Through Time. CoRR Robert J. Joyce, Edward Raff, Charles Nicholas
2022	J	`jnl`	SeNMFk-SPLIT: Large Corpora Topic Modeling by Semantic Non-negative Matrix Factorization with Automatic Model Selection. CoRR Maksim Ekin Eren, Nick Solovyev, Manish Bhattarai, Kim Ø. Rasmussen, Charles Nicholas, Boian S. Alexandrov
2022	B	`conf`	SeNMFk-SPLIT: large corpora topic modeling by semantic non-negative matrix factorization with automatic model selection. DocEng Maksim Ekin Eren, Nick Solovyev, Manish Bhattarai, Kim Ø. Rasmussen, Charles Nicholas, Boian S. Alexandrov
2021	—	`conf`	A Framework for Cluster and Classifier Evaluation in the Absence of Reference Labels. AISec@CCS Robert J. Joyce, Edward Raff, Charles Nicholas
2021	J	`jnl`	A Framework for Cluster and Classifier Evaluation in the Absence of Reference Labels. CoRR Robert J. Joyce, Edward Raff, Charles Nicholas
2021	J	`jnl`	COVID-19 Multidimensional Kaggle Literature Organization. CoRR Maksim Ekin Eren, Nick Solovyev, Chris Hamer, Renee McDonald, Boian S. Alexandrov, Charles Nicholas
2021	B	`conf`	COVID-19 multidimensional kaggle literature organization. DocEng Maksim Ekin Eren, Nick Solovyev, Chris Hamer, Renee McDonald, Boian S. Alexandrov, Charles Nicholas
2021	B	`conf`	Document engineering issues in malware analysis. DocEng Charles Nicholas, Robert J. Joyce, Steve Simske
2021	J	`jnl`	Evading Malware Classifiers via Monte Carlo Mutant Feature Discovery. CoRR John Boutsikas, Maksim Ekin Eren, Charles K. Varga, Edward Raff, Cynthia Matuszek, Charles Nicholas
2021	J	`jnl`	Leveraging Uncertainty for Improved Static Malware Detection Under Extreme False Positive Constraints. CoRR André T. Nguyen, Edward Raff, Charles Nicholas, James Holt
2021	J	`jnl`	MOTIF: A Large Malware Reference Dataset with Ground Truth Family Labels. CoRR Robert J. Joyce, Dev Amlani, Charles Nicholas, Edward Raff
2021	—	`conf`	Searching for Selfie in TLS 1.3 with the Cryptographic Protocol Shapes Analyzer. Protocols, Strands, and Logic Prajna Bhandary, Edward Zieglar, Charles Nicholas
2020	A*	`conf`	A New Burrows Wheeler Transform Markov Distance. AAAI Edward Raff, Charles Nicholas, Mark McLean
2020	J	`jnl`	A Survey of Machine Learning Methods and Challenges for Windows Malware Classification. CoRR Edward Raff, Charles Nicholas
2020	—	`conf`	Automatic Yara Rule Generation Using Biclustering. AISec@CCS Edward Raff, Richard Zak, Gary Lopez Munoz, William Fleming, Hyrum S. Anderson, Bobby Filar, Charles Nicholas, James Holt
2020	J	`jnl`	Automatic Yara Rule Generation Using Biclustering. CoRR Edward Raff, Richard Zak, Gary Lopez Munoz, William Fleming, Hyrum S. Anderson, Bobby Filar, Charles Nicholas, James Holt
2020	B	`conf`	COVID-19 Kaggle Literature Organization. DocEng Maksim Ekin Eren, Nick Solovyev, Edward Raff, Charles Nicholas, Ben Johnson
2020	J	`jnl`	COVID-19 Kaggle Literature Organization. CoRR Maksim Ekin Eren, Nick Solovyev, Edward Raff, Charles Nicholas, Ben Johnson
2020	B	`conf`	Cluster Quality Analysis Using Silhouette Score. DSAA Ketan Rajshekhar Shahapure, Charles Nicholas
2019	J	`jnl`	A New Burrows Wheeler Transform Markov Distance. CoRR Edward Raff, Charles Nicholas, Mark McLean
2019	J	`jnl`	KiloGrams: Very Large N-Grams for Malware Classification. CoRR Edward Raff, William Fleming, Richard Zak, Hyrum S. Anderson, Bill Finlayson, Charles Nicholas, Mark McLean
2019	—	`conf`	PyLZJD: An Easy to Use Tool for Machine Learning. SciPy Edward Raff, Joe Aurelio, Charles Nicholas
2018	J	`jnl`	An investigation of byte n-gram features for malware classification. J. Comput. Virol. Hacking Tech. Edward Raff, Richard Zak, Russell Cox, Jared Sylvester, Paul Yacci, Rebecca Ward, Anna Tracy, Mark McLean, Charles Nicholas
2018	A	`conf`	Engineering a Simplified 0-Bit Consistent Weighted Sampling. CIKM Edward Raff, Jared Sylvester, Charles Nicholas
2018	J	`jnl`	Engineering a Simplified 0-Bit Consistent Weighted Sampling. CoRR Edward Raff, Jared Sylvester, Charles Nicholas
2018	B	`conf`	Hash-Grams: Faster N-Gram Features for Classification and Malware Detection. DocEng Edward Raff, Charles Nicholas
2018	J	`jnl`	Lempel-Ziv Jaccard Distance, an effective alternative to ssdeep and sdhash. Digit. Investig. Edward Raff, Charles Nicholas
2018	—	`conf`	Static Malware Detection & Subterfuge: Quantifying the Robustness of Machine Learning and Current Anti-Virus. AAAI Fall Symposium: ALEC William Fleshman, Edward Raff, Richard Zak, Mark McLean, Charles Nicholas
2018	—	`conf`	Static Malware Detection & Subterfuge: Quantifying the Robustness of Machine Learning and Current Anti-Virus. MALWARE William Fleshman, Edward Raff, Richard Zak, Mark McLean, Charles Nicholas
2018	J	`jnl`	Static Malware Detection & Subterfuge: Quantifying the Robustness of Machine Learning and Current Anti-Virus. CoRR William Fleshman, Edward Raff, Richard Zak, Mark McLean, Charles Nicholas
2018	J	`jnl`	Toward Metric Indexes for Incremental Insertion and Querying. CoRR Edward Raff, Charles Nicholas
2017	—	`conf`	Learning the PE Header, Malware Detection with Minimal Domain Knowledge. AISec@CCS Edward Raff, Jared Sylvester, Charles Nicholas
2017	—	`conf`	Malware Classification and Class Imbalance via Stochastic Hashed LZJD. AISec@CCS Edward Raff, Charles Nicholas
2017	—	`conf`	What can N-grams learn for malware detection? MALWARE Richard Zak, Edward Raff, Charles Nicholas
1996	—	`conf`	Using Statistical Properties of Text to Create Metadata. MD Grace Crowder, Charles Nicholas
1995	—	`conf`	An Approach to Large Scale Distributed Information Systems Using Statistical Properties of Text to Guide Agent Search. CIKM Information Agents Workshop Grace Crowder, Charles Nicholas
1982	A	`conf`	Guest Layer in Distributed Processing Support on Local Operating Systems. ICDCS Sandra A. Mamrak, P. Maurath, J. Gomez, S. Janardan, Charles Nicholas