opacus
Training PyTorch models with differential privacy
APACHE-2.0 License
Ecosystems:
PyTorch
Bot releases are visible (Hide)
opacus
- Opacus v0.10.0
Published by JohnlNguyen almost 4 years ago
v0.10.0
New features
- Reimplemented the Embedding layer, making it 9x faster with lower memory footprint (#73).
- Reimplemented the DPLSTM layer, making it 2x faster with lower memory footprint.
- Extended our Conv support to grouped convolutions (#78).
Bug fixes
- Small fixes to clipping logic (#45).
Miscellaneous
- Changed docstring style from numpy -> Google.
- Throw an error if sample rate > 1 in privacy engine.
- Migrated our IMDB example from TorchText -> HuggingFace (#85).
- Added PRNG shuffling to our examples.
opacus
- Opacus v0.9.1
Published by karthikprasad about 4 years ago
Bug fixes
- Compatibility with Python 3.6 (Minimum required version changed from 3.7 to 3.6.9).
- Allow DP-LSTM to have null init.
opacus
- Opacus v0.9.0
Published by Darktex about 4 years ago
With this release, we get out of beta and rename from pytorch-dp to Opacus :)
opacus
- PyTorch-DP v0.1-beta.1
Published by karthikprasad over 4 years ago
New Features
- Initial commit
- Add per-sample gradient support for multiple ops
- Expand unit test coverage
- Add experimental clipping strategies
- Add script for privacy computation
Package Rankings
Top 6.73% on Proxy.golang.org
Top 2.12% on Pypi.org
Top 23.29% on Conda-forge.org
Badges
Extracted from project README
