2021

Opacus: User-Friendly Differential Privacy Library in PyTorch

Yousefpour, Ashkan, Shilov, Igor, Sablayrolles, Alexandre et al.

Understand

We introduce Opacus, a free, open-source PyTorch library for training deep learning models with differential privacy (hosted at opacus.ai).

  • Opacus is designed for simplicity, flexibility, and speed.
  • It provides a simple and user-friendly API, and enables machine learning practitioners to make a training pipeline private by adding as little as two lines to their code.
  • It supports a wide variety of layers, including multi-head attention, convolution, LSTM, GRU (and generic RNN), and embedding, right out of the box and provides the means for supporting other user-defined layers.

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