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Differentially private machine learning at scale with JAX-Privacy

Google Research · published 12 November 2025

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https://docs.jax.dev/en/latest/

docs.jax.dev

https://github.com/google-deepmind/jax_privacy

github.com

https://en.wikipedia.org/wiki/Automatic_differentiation

en.wikipedia.org

https://en.wikipedia.org/wiki/Just-in-time_compilation

en.wikipedia.org

https://github.com/jax-ml/jax/network/dependents

github.com

https://flax.readthedocs.io/en/latest/index.html

flax.readthedocs.io

https://github.com/google-deepmind/optax

github.com

https://en.wikipedia.org/wiki/Differential_privacyhttps://en.wikipedia.org/wiki/Differential_privacy

en.wikipedia.org

https://arxiv.org/abs/1607.00133

arxiv.org

https://arxiv.org/abs/2302.07956

arxiv.org

https://github.com/google-deepmind/jax_privacy/blob/main/jax_privacy/clipping.py

github.com

https://github.com/google-deepmind/jax_privacy/blob/main/jax_privacy/noise_addition.py

github.com

https://github.com/google-deepmind/jax_privacy/blob/main/jax_privacy/batch_selection.py

github.com

https://arxiv.org/abs/2103.00039

arxiv.org

https://arxiv.org/abs/2506.08201

arxiv.org

https://github.com/google-deepmind/jax_privacy/blob/main/jax_privacy/auditing.py

github.com

https://github.com/google/differential-privacy/tree/main/python/dp_accounting

github.com

https://www.usenix.org/conference/usenixsecurity23/presentation/nasr

usenix.org

https://research.google/blog/vaultgemma-the-worlds-most-capable-differentially-private-llm/

research.google

https://keras.io/examples/nlp/

keras.io

https://github.com/google-deepmind/jax_privacy/tree/main/examples

github.com

https://developers.googleblog.com/en/gemma-explained-overview-gemma-model-family-architectures/

developers.googleblog.com

https://pypi.org/project/jax-privacy/

pypi.org