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09/12/2023
Semi-supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection
Identification of the family to which a malware specimen belongs is esse...
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09/04/2023
MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware
Malware is one of the most dangerous and costly cyber threats to nationa...
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08/09/2023
A Feature Set of Small Size for the PDF Malware Detection
Machine learning (ML)-based malware detection systems are becoming incre...
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06/09/2023
AVScan2Vec: Feature Learning on Antivirus Scan Data for Production-Scale Malware Corpora
When investigating a malicious file, searching for related files is a co...
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05/03/2023
Can Feature Engineering Help Quantum Machine Learning for Malware Detection?
With the increasing number and sophistication of malware attacks, malwar...
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04/17/2023
IMCDCF: An Incremental Malware Detection Approach Using Hidden Markov Models
The popularity of dynamic malware analysis has grown significantly, as i...
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08/21/2022
SeNMFk-SPLIT: Large Corpora Topic Modeling by Semantic Non-negative Matrix Factorization with Automatic Model Selection
As the amount of text data continues to grow, topic modeling is serving ...
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05/04/2022
FedSPLIT: One-Shot Federated Recommendation System Based on Non-negative Joint Matrix Factorization and Knowledge Distillation
Non-negative matrix factorization (NMF) with missing-value completion is...
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02/18/2022
Out of Distribution Data Detection Using Dropout Bayesian Neural Networks
We explore the utility of information contained within a dropout based B...
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12/28/2021
Rank-1 Similarity Matrix Decomposition For Modeling Changes in Antivirus Consensus Through Time
Although groups of strongly correlated antivirus engines are known to ex...
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11/29/2021
MOTIF: A Large Malware Reference Dataset with Ground Truth Family Labels
Malware family classification is a significant issue with public safety ...
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09/23/2021
A Framework for Cluster and Classifier Evaluation in the Absence of Reference Labels
In some problem spaces, the high cost of obtaining ground truth labels n...
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08/09/2021
Leveraging Uncertainty for Improved Static Malware Detection Under Extreme False Positive Constraints
The detection of malware is a critical task for the protection of comput...
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07/17/2021
COVID-19 Multidimensional Kaggle Literature Organization
The unprecedented outbreak of Severe Acute Respiratory Syndrome Coronavi...
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06/15/2021
Evading Malware Classifiers via Monte Carlo Mutant Feature Discovery
The use of Machine Learning has become a significant part of malware det...
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09/06/2020
Automatic Yara Rule Generation Using Biclustering
Yara rules are a ubiquitous tool among cybersecurity practitioners and a...
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08/04/2020
COVID-19 Kaggle Literature Organization
The world has faced the devastating outbreak of Severe Acute Respiratory...
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06/15/2020
A Survey of Machine Learning Methods and Challenges for Windows Malware Classification
Malware classification is a difficult problem, to which machine learning...
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12/30/2019
A New Burrows Wheeler Transform Markov Distance
Prior work inspired by compression algorithms has described how the Burr...
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08/01/2019
KiloGrams: Very Large N-Grams for Malware Classification
N-grams have been a common tool for information retrieval and machine le...
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06/12/2018
Static Malware Detection & Subterfuge: Quantifying the Robustness of Machine Learning and Current Anti-Virus
As machine-learning (ML) based systems for malware detection become more...
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03/30/2018
Engineering a Simplified 0-Bit Consistent Weighted Sampling
The Min-Hashing approach to sketching has become an important tool in da...
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01/12/2018
Toward Metric Indexes for Incremental Insertion and Querying
In this work we explore the use of metric index structures, which accele...
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10/25/2017
Malware Detection by Eating a Whole EXE
In this work we introduce malware detection from raw byte sequences as a...
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09/05/2017