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CoBeMPD: Weakly Supervised Malicious Package Detection and File-Level Localization via Multi-Instance Learning over Code and Behavior Semantics
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-52683-2_2openalex-snapshot
Backstabber’s Knife Collection: A Review of Open Source Software Supply Chain Attacks
inferredcites →https://doi.org/10.1007/978-3-319-93411-2_14openalex-snapshot
JaSt: Fully Syntactic Detection of Malicious (Obfuscated) JavaScript
inferredcites →https://doi.org/10.1007/s11227-023-05243-xopenalex-snapshot
BejaGNN: behavior-based Java malware detection via graph neural network
inferredcites →https://doi.org/10.1016/s0004-3702(96)00034-3openalex-snapshot
Solving the multiple instance problem with axis-parallel rectangles
inferredcites →https://doi.org/10.1109/pst.2018.8514191openalex-snapshot
A Family of Droids-Android Malware Detection via Behavioral Modeling: Static vs Dynamic Analysis
inferredcites →https://doi.org/10.1145/3627106.3627138openalex-snapshot
On the Feasibility of Cross-Language Detection of Malicious Packages in npm and PyPI
inferredcites →https://doi.org/10.1145/3650212.3680397openalex-snapshot
Maltracker: A Fine-Grained NPM Malware Tracker Copiloted by LLM-Enhanced Dataset
inferredcites →https://doi.org/10.1145/3705304openalex-snapshot
Killing Two Birds with One Stone: Malicious Package Detection in NPM and PyPI using a Single Model of Malicious Behavior Sequence
inferredcites →https://doi.org/10.18517/ijaseit.8.4-2.6827openalex-snapshot
A Survey on Malware Analysis Techniques: Static, Dynamic, Hybrid and Memory Analysis
inferredcites →https://doi.org/10.3390/ai6090216openalex-snapshot
Large Language Models in Cybersecurity: A Survey of Applications, Vulnerabilities, and Defense Techniques
inferredcites →https://doi.org/10.3390/electronics14010167openalex-snapshot
A Malware-Detection Method Using Deep Learning to Fully Extract API Sequence Features
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