mia
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spring-epfl
A library for running membership inference attacks against ML models
Bumps [numpy](https://github.com/numpy/numpy) from 1.15.1 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...
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Bumps [numpy](https://github.com/numpy/numpy) from 1.15.1 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...
Hey Bogdan, I read your project called "spring-epfl/mia" and tried to reproduce the MIA model you shared on Github. I found that the attack accuracy is like 55% on the...
Bumps [babel](https://github.com/python-babel/babel) from 2.6.0 to 2.9.1. Release notes Sourced from babel's releases. Version 2.9.1 Bugfixes The internal locale-data loading functions now validate the name of the locale file to be...
Bumps [requests](https://github.com/psf/requests) from 2.19.1 to 2.20.0. Changelog Sourced from requests's changelog. 2.20.0 (2018-10-18) Bugfixes Content-Type header parsing is now case-insensitive (e.g. charset=utf8 v Charset=utf8). Fixed exception leak where certain redirect...
In the README.md, the `documentation` link fails: ``` A library for running membership inference attacks (MIA) against machine learning models. Check out the documentation. ```
Follow the TF demo, there is something wrong in attacking pytorch model. Could you please share a demo with PyTorch?
Bumps [urllib3](https://github.com/urllib3/urllib3) from 1.23 to 1.26.5. Release notes Sourced from urllib3's releases. 1.26.5 :warning: IMPORTANT: urllib3 v2.0 will drop support for Python 2: Read more in the v2.0 Roadmap Fixed...
Hi! I'm trying to conduct the membership attack on the Fashion Mnist dataset by slightly changing the provided example. Since the Fashion MNIST is 70k images (60k training and 10k...
This one is hopefully pretty straightforward: the wrapper param `enable_cuda` is spelled `enable_cude` in the docs. Not a huge deal, but did have me scratching my head for a minute...
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A library for running membership inference attacks against ML models