Hongyan Chang

I tried `sudo kextutil /Library/Filesystems/osxfuse.fs/Contents/Extensions/11/osxfuse.kext` and it works for me after rebooting.

Thank you so much @sarthakpati , for your contribution. We really appreciate it! I will test it and merge the pull request.

Hi @sarthakpati , I encountered the following issues. Do you have any ideas about solving this issue? ```bash The environment is inconsistent, please check the package plan carefully The following...

@sarthakpati Thank you for your prompt reply. I solved the problem. Previously, I tested on conda env of version 4.10.3. When testing on conda env 4.12.0, privacy-meter can be installed...

Hi @xjc1234567 , The attacks S and P are incorporated in the shadow_metric and population_metric function respectively in the privacy meter (see [here](https://github.com/privacytrustlab/ml_privacy_meter/blob/master/privacy_meter/metric.py)). To get more details of how these...

Hi @dxoigmn, thank you for bringing this issue to our attention. I'm pleased to inform you that we have fixed the bug and released an updated version of the tutorials....

Hi @Xiongchang123, This depends on the training dataset's size, model structure, number of epochs you define, the device you are using, etc.

Hi @Ty0ng, I wanted to follow up on the issues you reported. We have provided the pointer to the previous Enhanced MIA implementation in the [research/readme.md](https://github.com/privacytrustlab/ml_privacy_meter/tree/master/research) file. Please refer to...

Hi @Ty0ng , To evaluate the privacy risk of a machine learning model, it's important to understand the security game being played, as outlined in Section 3.1 of in the...

Hi @GowriRamshankar , At the moment, we do not offer support for attacks that utilize the model's intermediate output (activation of the model from each layer). We are currently working...