In differential privacy, privacy guarantees are managed through the careful calibration of epsilon and delta parameters, which define the level of privacy protection. These parameters control the trade-off between privacy and the utility of the data. Additionally, differential privacy employs a cumulative approach to privacy expenditure. As more data analyses are performed, the consumed portions of the privacy budget are tracked, ensuring that the total privacy loss remains within acceptable limits. This systematic approach enables a transparent and controlled use of data, ensuring that privacy guarantees are maintained throughout the data analysis process.