The final presentation can be viewed in the Differential_Privacy_Presentation.pdf file.

run on classical python 3.9 without particular version

User.py Implement the extraction of probability distribution from the GOWALLA dataset proposed by the paper, can search for the most lived area, can be controled with the number of users and latitute/longitude ranges

main.py Implement the main classes used for the algorithms of the paper. Notations and operation are completely based on what was described by the authors. All parameters are to change within the main(), so argument management has been made. To run with

python main.py

User2.py and main2.py Implement small changes for the extention of our work for the COVID 19 dataset

This project was a group project, and was made possible thanks to the collaboration of :

• Mathilde Kretz, IASD Master Program 2023/2024 student, at PSL Research University
• Thomas Boudras, IASD Master Program 2023/2024 student, at PSL Research University
• Alexandre Ngau, IASD Master Program 2023/2024 student, at PSL Research University