deep_Mahalanobis_detector
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pokaxpoka
Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".
You merged the in-distribution and out-of-distribution test set and split out new train/val/test set for LR based on Mahalanobis score. However, you don't do it in the same way for...
Im trying to use this repository to detect which adversarial examples have been detected, is this possible, im struggling?
Would you consider adding the scripts you used to train the Resnet and Densenet models?
Hi, many thanks for your work. Recently, we want to compare our proposed method with this work. In our settings, the model has no access to the ood data, therefore,...
Hi, thanks for you amazing work. In the source code, I find that this work uses the ood data for training a logistic regression model. I wonder if this is...
Thank you for open sourcing this great project. [The way you saved the Cifar10/100 checkpoints](https://github.com/pokaxpoka/deep_Mahalanobis_detector/blob/90c2105e78c6f76a2801fc4c1cb1b84f4ff9af63/OOD_Baseline_and_ODIN.py#L52) makes it hard to reuse the pre-trained Densenets in another project. Could you please release...
Should we assume that this repository copyright its hold by authors or authors kindly released it under some open source license like MIT ? best regards
