US 11,841,977 B2
Training anonymized machine learning models via generalized data generated using received trained machine learning models
Abigail Goldsteen, Haifa (IL); Ariel Farkash, Shimshit (IL); Micha Gideon Moffie, Zichron Yaakov (IL); Gilad Ezov, Nesher (IL); and Ron Shmelkin, Haifa (IL)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Feb. 11, 2021, as Appl. No. 17/173,628.
Prior Publication US 2022/0253554 A1, Aug. 11, 2022
Int. Cl. G06F 21/62 (2013.01); G06N 20/00 (2019.01); G06F 18/214 (2023.01)
CPC G06F 21/6254 (2013.01) [G06F 18/2148 (2023.01); G06F 18/2155 (2023.01); G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A system, comprising a processor to:
receive training data and predictions on the training data of a trained machine learning model to be anonymized;
generate generalized data based on the predictions of the trained machine learning model on the training data; and
train an anonymized machine learning model using the generalized data.