Obfuscating user data via differential privacy

A method of obfuscating user data via differential privacy, comprising:

• receiving, by a device, a request for data, wherein:
• the request is associated with one or more parameters that specify one or more conditions for allowing access to the data,
• the one or more parameters comprise a category associated with a data consumer and a purpose for accessing the data,
• the category associated with the data consumer comprises a trusted entity or a non-trusted entity, and
• the request indicates the purpose for accessing the data;
• obtaining, by the device and based on receiving the request, the data;
• generating, by the device and using the data, differentially private data via a differential privacy function that uses a privacy parameter to control a level of noise that is inserted into the data to generate the differentially private data, wherein:
• the privacy parameter is based on the one or more parameters, and
• the trusted entity is allowed to access data with less inserted noise than the non-trusted entity;
• and
• providing, by the device and in response to the request, the differentially private data.

A non-transitory computer-readable medium storing a set of instructions, the set of instructions comprising:

• one or more instructions that, when executed by one or more processors of a device, cause the device to:
• receive a request for data, wherein:
• the request is associated with a data consumer and one or more parameters that specify one or more conditions for allowing access to the data,
• the one or more parameters comprise a category associated with the data consumer and a purpose for accessing the data,
• the category associated with the data consumer comprises a trusted entity or a non-trusted entity, and
• the request indicates the purpose for accessing the data;
• obtain, based on receiving the request, the data;
• determine, based on the one or more parameters, a privacy parameter associated with defining an accuracy level of differentially private data as compared to the data;
• and
• obfuscate the data via a differential privacy function that uses the privacy parameter to control a level of noise that is inserted into the data to generate the differentially private data, wherein:
• the differentially private data is different than the data and is representative of the data within the accuracy level, and
• the trusted entity is allowed to access data with less inserted noise than the non-trusted entity;
• and
• provide, in response to the request, the differentially private data.