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A. Unique TensorFlower 7eea74a6a1 COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/privacy/pull/230 from npapernot:hyperparam 8835b9c4072e3e598aa49d605e7643a2c2e65988 
PiperOrigin-RevId: 446832781
2022-05-05 15:38:47 -07:00
..
audit_2020 Remove unused comments related to Python 2 compatibility. 2022-04-21 08:20:08 -07:00
GDP_2019 Explicitly import estimator from tensorflow as a separate import instead of 2022-03-30 16:05:01 -07:00
hyperparameters_2022 COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/privacy/pull/230 from npapernot:hyperparam 8835b9c4072e3e598aa49d605e7643a2c2e65988 2022-05-05 15:38:47 -07:00
instahide_attack_2020 Internal 2022-02-16 23:26:54 +00:00
mi_lira_2021 Merge pull request #183 from carlini:better-mi 2022-02-18 20:42:22 +00:00
neuracrypt_attack_2021 Merge pull request #185 from carlini:neuracrypt 2022-02-18 21:10:54 +00:00
pate_2017 Add TensorFlow Privacy BUILD and WORKSPACE files. 2022-02-16 23:30:06 +00:00
pate_2018 Add TensorFlow Privacy BUILD and WORKSPACE files. 2022-02-16 23:30:06 +00:00
README.md Add missing licenses. 2019-01-14 16:02:35 -08:00

README.md

Research

This folder contains code to reproduce results from research papers. Currently, the following papers are included:

  • Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (ICLR 2017): pate_2017

  • Scalable Private Learning with PATE (ICLR 2018): pate_2018