deviation-network
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Model performance on backdoor datasets
Hi,Mr Pang I trained model with default arguments by using the backdoor dataset and get the performance as follows AUC-ROC: 0.7793, AUC-PR: 0.2663 average AUC-ROC: 0.7834, average AUC-PR: 0.2730 I saw a similar question in previous issue and your answer is that perform some standard data prepocessing steps,could you provide specific steps and data process code on github?
Hi,Mr Pang I trained model with default arguments by using the backdoor dataset and get the performance as follows AUC-ROC: 0.7793, AUC-PR: 0.2663 average AUC-ROC: 0.7834, average AUC-PR: 0.2730 I saw a similar question in previous issue and your answer is that perform some standard data prepocessing steps,could you provide specific steps and data process code on github?
The dataset has been released in the repo. Please use the released data. Thanks.