You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
On page 16 of the BackdoorBench NeurIPS2022 paper, I noticed that NC is introduced as a method that first detects the backdoored model and then mitigates it through pruning based on the searched trigger. However, for the code in this repo, I find that you perform unlearning instead of pruning. Is that a common operation for the implementation of NC?
The text was updated successfully, but these errors were encountered:
On page 16 of the BackdoorBench NeurIPS2022 paper, I noticed that NC is introduced as a method that first detects the backdoored model and then mitigates it through pruning based on the searched trigger. However, for the code in this repo, I find that you perform unlearning instead of pruning. Is that a common operation for the implementation of NC?
The text was updated successfully, but these errors were encountered: