Comments (3)
Thank you. Will take a look and let you know.
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I am facing one more error still related to passing target_train_model
and target_attack_model
as two different datahandlers:
AttributeError: 'attack_data' object has no attribute 'nonmember_train'
Error is raised by line no. 202 of ml_privacy_meter/utils/attack_data.py
:
nmtrainhashes = compute_hashes(self.nonmember_train)
That is problably due to self.nonmember_train
being initialized by the load_train()
method, which is actually not invoked on the target_attack_model
datahandler.
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This question which had been taked by @gongzhimin at issue #22 confuses me too。 could you please explain it to us?
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Related Issues (20)
- Attack S and Attack P cant be reproduced HOT 3
- Question regarding ussage of ModelIntermediateOutput class in information_source_signal.py HOT 1
- Time HOT 1
- Can't achieve a better accuracy than 0.5121 with the blackbox tutorial: Running the Alexnet CIFAR-100 Attack HOT 5
- Pytorch implementation HOT 2
- pip install -r requirements.txt throws: ERROR: No matching distribution found for tensorflow-gpu==2.5.0 HOT 1
- Can't exploit gradients of ResNet-20 HOT 4
- can i attack linear regression、logistic、XGBoost
- can i attack linear regression、logistic、XGBoost models? HOT 1
- attacking convolutional layer's gradient - shape mismatch HOT 5
- MIA blackbox attack accuracy repeats same value HOT 3
- Code of "MIA via Distillation" HOT 1
- Blackbox attack of a basic binary TensorFlow classifier with tabular data HOT 1
- Request for FL and Unsupervised Learning Version HOT 1
- A question for attack_alexnet.py. HOT 1
- Old tutorials with restructured code HOT 1
- Add conda recipe HOT 8
- FileNotFoundError: [Errno 2] No such file or directory: '../privacy_meter/report_files/explanations.json' HOT 2
- Bug in notebook examples that use PyTorch models HOT 1
- Enhanced MIA HOT 5
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