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Model performance on backdoor datasets

Open cjx9869 opened this issue 2 years ago • 1 comments

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?

cjx9869 avatar Aug 07 '21 04:08 cjx9869

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.

GuansongPang avatar Aug 07 '21 05:08 GuansongPang