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SOTA Malicious Package Detection benchmarks and papers with code | Wizwand
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Malicious Package Detection
Benchmarks
Dataset Name
SOTA Method
Dataset Name
SOTA Method
Metric
Trend
Results
Last Updated
PyPI Malicious Package Dataset All Packages Combined (test)
H2GLM
Accuracy
97.08
24
18d ago
PyPI (test)
Cerebro RoBERTa
Precision
96.1
17
1mo ago
QUT-DV25 (test)
MLP
AUC
99
14
2mo ago
PyPI (Extremely Large ≥700KB)
H2GLM
Accuracy
96.33
12
18d ago
PyPI (Extremely Small ≤1.57KB)
H2GLM
Accuracy
95.96
12
18d ago
PyPI Extensive Imports (test)
H2GLM
Accuracy
95
12
18d ago
PyPI Minimal Imports (test)
H2GLM
Accuracy
96.6
12
18d ago
PyPI Malicious Package Dataset Large Packages N = 1162 (test)
H2GLM
Accuracy
96.89
12
18d ago
PyPI Malicious Package Dataset Small Packages N = 972 (test)
H2GLM
Accuracy
97.31
12
18d ago
Obfuscation Dataset
PYGUARD
Accuracy
98.28
11
4mo ago
Latest Dataset
PYGUARD
Accuracy
97.37
11
4mo ago
Evaluation Dataset
PYGUARD
Accuracy
99.5
11
4mo ago
Malicious package evaluation dataset
CHASE
Precision
99.595
10
1mo ago
PyPI
PyRadar
Accuracy
99.5
8
2mo ago
D1 Calibrated
PyFEXScan
Precision
99.1
7
1mo ago
NPM PyPI-trained (test)
AmalfiNB
Precision
48.8
6
1mo ago
PyPI NPM-trained (test)
Cerebro RoBERTa
Precision
75.1
6
1mo ago
MalwareBench adv (test)
XGBoost AT
Recall (TPR) @ 1% FPR
86.81
5
4mo ago
MalwareBench (test)
XGBoost AT
Recall @ 1% FPR
95.64
5
4mo ago
NPM
MeMPtec
Accuracy
99.61
3
1mo ago
Custom evaluation dataset
-
-
0
4mo ago
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