Differential-Privacy-Guide
privacy
| Differential-Privacy-Guide | privacy | |
|---|---|---|
| 1 | 2 | |
| 14 | 1,927 | |
| - | 0.5% | |
| 2.6 | 7.7 | |
| almost 3 years ago | 22 days ago | |
| Python | Python | |
| - | Apache License 2.0 |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Differential-Privacy-Guide
privacy
What are some alternatives?
adversarial-robustness-toolbox - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
differential-privacy - Google's differential privacy libraries.
tf-encrypted - A Framework for Encrypted Machine Learning in TensorFlow
gretel-python-client - The Gretel Python Client allows you to interact with the Gretel REST API.
dp-xgboost
ReTube - ReImagine Tubing
EnvisEdge - Deploy recommendation engines with Edge Computing
isp-data-pollution - ISP Data Pollution to Protect Private Browsing History with Obfuscation
tf2-published-models - Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are implemented and can be seen in tensorboard.