Merge pull request #27 from sagar-kaushik/secure-xgb-lib-and-privacy-…

…book

Secure XGBoost lib and a short privacy e-book

README.md

@@ -108,6 +108,8 @@ Please find below all the contributed resources, organised by category
 
 - [PanzaMail](https://github.com/IST-DASLab/PanzaMail) - Panza is an automated email assistant customized to your writing style and past email history, trained without ever sharing your sensitive data.
 
+- [Secure XGBoost](https://mc2-project.github.io/secure-xgboost/) - Secure XGBoost is a library that provides the capability to collaboratively train XGBoost models on untrusted cloud enviroments using secure hardware enclaves.
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 ### Books
 
@@ -117,6 +119,8 @@ Please find below all the contributed resources, organised by category
 
 - [The Algorithmic Foundations of Differential Privacy](https://www.cis.upenn.edu/~aaroth/Papers/privacybook.pdf) - A foundational text that delves into the theoretical aspects of differential privacy, exploring its principles and practical applications in safeguarding individual data.
 
+- [Data Privacy Handbook](https://utrechtuniversity.github.io/dataprivacyhandbook/index.html) - A short guide from the Utrecht University on data privacy regulations and classical techniques used to make the data private like de-indetification through ommision and other statistical methods.
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 ### Games & Simulations
 
 - [DP Vision](https://www.oblivious.com/games/dp-vision) - Test your image recognition skills with differentially private images! Players manage a privacy budget to reveal image details, aiming to identify the correct image within 5 guesses while minimizing privacy loss.