privacy
Differential-Privacy-Guide
privacy | Differential-Privacy-Guide | |
---|---|---|
2 | 1 | |
1,874 | 13 | |
0.7% | - | |
7.8 | 2.6 | |
8 days ago | over 2 years ago | |
Python | Python | |
Apache License 2.0 | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
privacy
Differential-Privacy-Guide
What are some alternatives?
differential-privacy - Google's differential privacy libraries.
adversarial-robustness-toolbox - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
tf-encrypted - A Framework for Encrypted Machine Learning in TensorFlow
dp-xgboost
gretel-python-client - The Gretel Python Client allows you to interact with the Gretel REST API.
EnvisEdge - Deploy recommendation engines with Edge Computing
ReTube - ReImagine Tubing
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.