Patent ID: 11886955
Assignee: PROTOPIA AI, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 1:
2. The medium of claim 1,
wherein the objective function further comprises a measure of reconstruction loss and a measure of noise loss,
wherein the measure of noise loss is tunable,
wherein the training dataset contains sensitive data,
wherein the one or more obfuscated records do not contain sensitive data,
wherein the second dataset is a dataset of a second machine learning model, the second machine learning model trained based on the second dataset, and the one or more obfuscated records of the second dataset transmitted to the second machine learning model by the untrusted network,
wherein the second machine learning model trained on the second dataset has accuracy relative to a third machine learning model trained on the training dataset containing sensitive data to within a threshold metric, and
wherein the parametric noise distributions for the one or more stochastic noise layers are not adjusted based on the one or more records from the second dataset.