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Collateral Learning - Functional Encryption and Adversarial Training on partially encrypted networks

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bottleneck

https://github.com/LaRiffle/collateral-learning/blob/a8e40193e234e331fe49a5b0e1207b34464efa16/tutorials/Part%2001%20-%20Building%20a%202%20target%20features%20dataset.ipynb#L911 this function seems to be the bottolneck. if you use the fig2data from http://www.icare.univ-lille1.fr/tutorials/convert_a_matplotlib_figure the dataset generation should be faster

ggbioing avatar ggbioing

[Snyk] Security upgrade numpy from 1.21.3 to 1.22.2

This PR was automatically created by Snyk using the credentials of a real user.Snyk has created this PR to fix one or more vulnerable packages in the `pip` dependencies of...

LaRiffle avatar LaRiffle

Bump torch from 1.13.1.post2 to 2.2.0

Bumps [torch](https://github.com/pytorch/pytorch) from 1.13.1.post2 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...

dependabot[bot] avatar dependabot[bot]

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Collateral Learning - Functional Encryption and Adversarial Training on partially encrypted networks

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