1. [1] Martín Abadi et al. TensorFlow: Large-scale machine learning on heterogeneous systems, 2015. URL https://www.tensorflow.org/. Software available from tensor-flow.org.
2. [2] Martin Abadi et al. Deep learning with differential privacy. In Proceedings of the 2016 ACM SIGSAC conference on computer and communications security, pages 308–318, 2016.10.1145/2976749.2978318
3. [3] Eli Bingham et al. Pyro: Deep Universal Probabilistic Programming. arXiv preprint arXiv:1810.09538, 2018.
4. [4] James Bradbury, Roy Frostig, Peter Hawkins, Matthew James Johnson, Chris Leary, Dougal Maclaurin, and Skye Wanderman-Milne. JAX: composable transformations of Python+NumPy programs. https://github.com/google/jax, 2018.
5. [5] Clément L Canonne, Gautam Kamath, and Thomas Steinke. The discrete gaussian for differential privacy. In H. Larochelle, M. Ranzato, R. Hadsell, M. F. Balcan, and H. Lin, editors, Advances in Neural Information Processing Systems, volume 33, pages 15676–15688. Curran Associates, Inc., 2020.