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Malicious Package Detection on PyPI (test)

96.1PrecisionCerebro RoBERTa
16.85237.4265878.574Sep 6, 2023

Evaluation results

MethodLinks
Cerebro RoBERTaTrain=Mixed2023.0996.190.9
Cerebro RoBERTaTrain=PyPI, Backbone=RoBERTa, Learning-based=true2023.099691.7
Cerebro BERTTrain=PyPI, Backbone=BERT, Learning-based=true2023.0995.889.4
Cerebro BERTTrain=Mixed2023.099592
Cerebro T5Train=Mixed2023.0994.669.6
Cerebro T5Train=PyPI, Backbone=T5, Learning-based=true2023.0993.470.9
SAPTrain=PyPI, Learning-based=true2023.0983.961.5
AmalfiDTTrain=Mixed2023.0983.281.1
AmalfiDTTrain=PyPI, Algorithm=Decision Tree, Learning-based=true2023.0981.983.9
SAPTrain=Mixed2023.0980.260.2
AmalfiNBTrain=PyPI, Algorithm=Naive Bayes, Learning-based=true2023.0959.57.5
AmalfiSVMTrain=Mixed2023.0945.137.2
AmalfiNBTrain=Mixed2023.094235.6
AmalfiSVMTrain=PyPI, Algorithm=SVM, Learning-based=true2023.0930.330.9
Bandit4MalApproach Type=Rule-Based2023.0924.974.4
MPHunterTrain=PyPI, Learning-based=true2023.0921.885.4
OSS Detect BackdoorApproach Type=Rule-Based2023.0919.960.4