Opacus: User-Friendly Differential Privacy Library in PyTorch. (arXiv:2109.12298v4 [cs.LG] UPDATED)

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 …

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