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Opacus v0.12.0

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@Darktex Darktex released this 03 Mar 01:02

v0.12.0

This version introduces a mildly-breaking change: the privacy engine will now support sampling with variable batch size, just like in the Abadi et al. paper. To accommodate this feature, we have made batch_size a kwarg (no longer positional). We are also enforcing that all kwargs must not be specified positionally. If you had code that passed kwargs positionally, you will find an error (which will be very simple to fix).

New features

  • Enforce kwargs to Privacy Engine (#136).
  • Fix batch construction and privacy engine (#128). (thanks @ConstanceBeguier!)
  • Compute required sigma to reach (epsilon, delta) budget (#126)
  • Friendly user message for unused parameters (#118).
  • Print helpful message when models are not in train mode (#113)

Bug fixes

  • Now the Opacus package has a __version__ attribute.
  • Fix immer security issue, fix website errors
  • Updated setup.py version requirements to support 3.6.8 for Windows (#108) (thanks @madhavajay!)

Miscellaneous

  • Rewrote the grad_sample tests to use Hypothesis (#125). (thanks @touqir14!)