Semi-Supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection.

[BibT_eX]

[DOI]

Maksim Ekin Eren

Manish Bhattarai

ACM Trans. Priv. Secur., November, 2023

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

[BibT_eX]

[DOI]

Comput. Secur., 2023

AVScan2Vec: Feature Learning on Antivirus Scan Data for Production-Scale Malware Corpora.

[BibT_eX]

[DOI]

Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023

MalDICT: Benchmark Datasets on Malware Behaviors, Platforms, Exploitation, and Packers.

[BibT_eX]

[DOI]

Proceedings of the Conference on Applied Machine Learning in Information Security, 2023

Evaluating Representativeness in PDF Malware Datasets: A Comparative Study and a New Dataset.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

2022

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

[BibT_eX]

[DOI]

Robert J. Joyce

Edward Raff

Charles Nicholas

CoRR, 2022

2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Document engineering issues in malware analysis.

[BibT_eX]

[DOI]

Charles Nicholas

Robert J. Joyce

Steve Simske

Proceedings of the DocEng '21: ACM Symposium on Document Engineering 2021, 2021

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

[BibT_eX]

[DOI]

Robert J. Joyce

Edward Raff

Charles Nicholas

Proceedings of the AISec@CCS 2021: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, 2021

Robert J. Joyce

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