A stacking ensemble classifier using static features, including a new vocabulary-based text feature, detects malicious PyPI packages with a claimed F1 of 94 percent, though the per-class malicious F1 is 88 percent.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.SE 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
A Machine Learning-Based Approach For Detecting Malicious PyPI Packages
A stacking ensemble classifier using static features, including a new vocabulary-based text feature, detects malicious PyPI packages with a claimed F1 of 94 percent, though the per-class malicious F1 is 88 percent.