[Feature] add backdoor attack #267
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xieyxclack
added
Feature
DavdGao
reviewed
Jul 28, 2022
| cfg.attack.setting = 'fix' | ||
| cfg.attack.freq = 10 | ||
| cfg.attack.insert_round = 100000 | ||
| cfg.attack.mean = [0.1307] |
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Why does the mean and std default to 0.1307 and 0.3081? Maybe they should be set according to cfg.data.type？
| transforms_funcs = get_transform(ctx, 'torchvision')['transform'] | ||
| load_path = ctx.attack.edge_path | ||
| if "femnist" in ctx.data.type: | ||
| if mode == 'train': |
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please import federatedscope/core/auxiliaries/enums.py and use MODE.TRAIN instead
| sample = sample.numpy().transpose(1, 2, 0) | ||
| data['train'].dataset.append((transforms_funcs(sample), label)) | ||
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| if mode == 'test' or 'val': |
| logger.info('adding {:d} edge-cased samples in CIFAR-10'.format( | ||
| num_poisoned)) | ||
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| if mode == 'test' or 'val': |
| else: | ||
| dataset_.append((img, data[1])) | ||
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| if mode == 'test' or 'val': |
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| load_path = ctx.attack.trigger_path | ||
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| if mode == 'train': |
| shuffle=True, | ||
| num_workers=ctx.data.num_workers) | ||
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| if mode == 'test' or 'val': |
| def load_poisoned_dataset_edgeset(data, ctx, mode): | ||
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| transforms_funcs = get_transform(ctx, 'torchvision')['transform'] | ||
| load_path = ctx.attack.edge_path |
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Please use data.root instead, and you can create a sub directory under data.root.
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LGTM, @Alan-Qin please remember to finish the following modifications in the future.
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DavdGao
approved these changes
Jul 28, 2022
Schichael
pushed a commit
to Schichael/FederatedScope_thesis
that referenced
this pull request
Sep 7, 2022
* add backdoor attack Co-authored-by: Alan-Qin <[email protected]> Co-authored-by: Osier-Yi <[email protected]>
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As the title says. This thread is inherited from #250, since the checking of Contributor License Agreement could not be passed for some reasons in #250.
Please note that the contributor and author of this pr is @Alan-Qin, and I only help on committing.
Thanks a lot for the contribution :)