Comments (1)
Hi,
The noise was generated without augmentation by setting the transform
to the same one as the test set transform
. This is usually just the ToTensor
operation.
The noise added before data augmentation for training is due to the experimental setting. Users who wish to protect their data, usually do not have access to the training process, including data augmentation. Considering that user post their photo on social media, they do not control how these images are augmented if it is being used to train models.
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Related Issues (19)
- Why use custom models? Cannot reproduce with torchvision model HOT 3
- KeyError: 'train_subset' HOT 4
- A problem when training model on ImageNetMini HOT 1
- Mismatch of the training data augmentation between QuickStart.ipynb and main.py HOT 1
- Two problems in training code of ImageNetMini HOT 1
- A problem with bi-level optimization in the article HOT 6
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- Some questions about training Inception-ResNet HOT 11
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- 关于噪声处理的问题? HOT 4
- Some questions about face recognition poisoning attack HOT 5
- keyerror报错 HOT 1
- Generating examples using CelebA HOT 1
- Can you share your experience with fast-autoaugment HOT 2
- bugs when generating sample wise perturbation HOT 1
- About the plot setting in the paper HOT 2
- About visualizing the results according to log file HOT 1
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