ebagdasa/backdoors101
Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.
PythonMIT
Issues
- 0
test_loader is NoneType Object
#29 opened by 5hry - 2
pip install failing
#27 opened by shayanshafquat - 0
Running FL
#28 opened by fabacha - 1
Bug in save_model function
#25 opened by phil0042 - 2
dose I need to write the multi_mnist_params.yaml if I want to run the multi_mnist task?
#22 opened by liuyuqinggg - 1
can't get a clear result
#24 opened by sunzhier - 1
about the PIPA dataset
#23 opened by grainrainn - 3
- 2
Questions about low accuracy of Test_backdoor_True
#20 opened by 01312 - 2
Question about parameter fl_eta in cifar_fed.yaml
#18 opened by LukeZheZhu - 8
General questions regarding the framework
#5 opened by DavidHidde - 8
Questions about the low benign accuracy on CIFAR-10 and GTSRB dataset of Blind Backdoor
#17 opened by THUYimingLi - 2
Question regarding federated experiment with multiple GPUs on one node (machine)
#19 opened by peterhan91 - 1
Questions regarding evading Neural Cleanse
#15 opened by openbbox - 1
Questions Regarding the code Implementation
#16 opened by Yutong-Dai - 3
"Cifar is downloaded using PyTorch": Is there a way to insert own image into the Cifar10 dataset?
#13 opened by michaelTJC96 - 2
- 1
- 5
How do I perform semantic backdoor attack?
#11 opened by michaelTJC96 - 2
- 2
Enquiries about the attacks
#6 opened by BasselFouad - 4
I can't download dateset
#4 opened by cslvjt - 1
- 1