backdoor_federated_learning
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Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)
I have some problems when i am trying to reproduce the experiment results in this paper. I pull the source code and run it with params.yaml after setting is_poison=True and...
Even with "is_poison"=false, the accuracy is only about 10%. When "is_poison"=true and batch_size=264, I get the results as follows: When there are adversaries, accuracy of backdoor is about 100%,accuracy without...
when i run **_python training.py --params utils/params.yaml_**, raised a error :
It seems to me that poison_dataset() didn't poison the data, it just sampled 64 images 200 times and required them not to be images from "posion_image" and "poison_images_test". But what...
I would like to run your code. Could you tell me which Python packages and their respective versions are required to execute it? 
不同版本的pytorch会对实验结果有影响吗
Does anyone have this corpus database?Could you please send me a copy? Thx. My email address is: [[email protected]](mailto:[email protected])
Bumps [torch](https://github.com/pytorch/pytorch) from 1.0 to 2.2.0. Release notes Sourced from torch's releases. PyTorch 2.2: FlashAttention-v2, AOTInductor PyTorch 2.2 Release Notes Highlights Backwards Incompatible Changes Deprecations New Features Improvements Bug fixes...