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Charles Nicholas — most-cited papers & profile · Recommender Systems
← authors
·
overview
Charles Nicholas
15
papers ·
232
citations ·
24
h-index
University of Maryland, Baltimore County
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Most-cited papers
Learning The PE Header, Malware Detection With Minimal Domain Knowledge
2017 · 129 citations
A Survey of Machine Learning Methods and Challenges for Windows Malware Classification
2020 · 37 citations
Static Malware Detection & Subterfuge: Quantifying the Robustness of Machine Learning and Current Anti-Virus
2018 · 35 citations
Leveraging Uncertainty For Improved Static Malware Detection Under Extreme False Positive Constraints
2021 · 9 citations
FedSPLIT: One-Shot Federated Recommendation System Based on Non-negative Joint Matrix Factorization and Knowledge Distillation
2022 · 8 citations
Evading Malware Classifiers via Monte Carlo Mutant Feature Discovery
2021 · 3 citations
A Feature Set of Small Size for the PDF Malware Detection
2023 · 1 citations
MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware
2023 · 1 citations
MalDICT: Benchmark Datasets on Malware Behaviors, Platforms, Exploitation, and Packers
2023 · 1 citations
Automatic Yara Rule Generation Using Biclustering
2020
IMCDCF: An Incremental Malware Detection Approach Using Hidden Markov Models
2023
AVScan2Vec: Feature Learning on Antivirus Scan Data for Production-Scale Malware Corpora
2023
Semi-supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection
2023
Catch'em all: Classification of Rare, Prominent, and Novel Malware Families
2024
Topics
Malware Detection
Threat Intelligence
Anomaly Detection
Adversarial ML
Network Security
Federated Learning
Communication
Privacy
Unsupervised Hashing
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