Apparatus, method, and system for providing signature-based machine unlearning

A method comprising:

• configuring a machine learning model to learn at least one main task and an auxiliary task, wherein the auxiliary task maps at least one signature associated with at least one data provider to at least one identifier associated with the at least one data provider, and wherein the machine learning model is trained using training data labeled with the at least one signature;
• calculating at least one data structure representing a sensitivity of at least one parameter of the machine learning model to the training data associated with the least one data provider;
• and
• updating one or more model parameters of the machine learning model based on the at least one data structure to perform a machine unlearning of the training data associated with the least one data provider indicated in an unlearning request.

A non-transitory computer-readable storage medium comprising program instructions that, when executed by an apparatus, cause the apparatus to:

• configuring a machine learning model to learn at least one main task and an auxiliary task, wherein the auxiliary task maps at least one signature associated with at least one data provider to at least one identifier associated with the at least one data provider, and wherein the machine learning model is trained using training data labeled with the at least one signature;
• calculating at least one data structure representing a sensitivity of at least one parameter of the machine learning model to the training data associated with the least one data provider;
• and
• updating one or more model parameters of the machine learning model based on the at least one data structure to perform a machine unlearning of the training data associated with the least one data provider indicated in an unlearning request.