KeyError: 'train_subset' about unlearnable-examples HOT 4 CLOSED

Hi,

Thanks for your interest in our work.

• Yes, --universal_train_target train_dataset should be added to the options for classwise setting . The README is missing it. In case of other errors, for each corresponding experiment in the paper, there is exp_setting.sh documents all the options.
• Thanks for the typos.
• I have updated the README for the --universal_train_target train_dataset option as well as fixed the typos.

Best,

from unlearnable-examples.

Thanks for your quick reply!
It seems you have added the --universal_train_target train_subset rather than --universal_train_target train_dataset in the README.md.

from unlearnable-examples.

Sorry for the confusion.

I have double checked this. For classwise, as stated in the paper, we use We use 20% of the training dataset., so this should indeed be tran_subset. To avoid the error, please use --use_subset in perturbation.py

Technically, it is also ok to use entire dataset to generate the noise. We use 20% to simulates that it can generalize to unseen data (the rest of 80%).

from unlearnable-examples.

Thanks for your clarification!

from unlearnable-examples.