公开(公告)号：US20240249018A1

公开(公告)日：2024-07-25

申请号：US18158299

申请日：2023-01-23

申请人： International Business Machines Corporation

发明人： Ambrish Rawat ,  Naoise Holohan ,  Heiko H. Ludwig ,  Ehsan Degan ,  Nathalie Baracaldo Angel ,  Alan Jonathan King ,  Swanand Ravindra Kadhe ,  Yi Zhou ,  Keith Coleman Houck ,  Mark Purcell ,  Giulio Zizzo ,  Nir Drucker ,  Hayim Shaul ,  Eyal Kushnir ,  Lam Minh Nguyen

IPC分类号： G06F21/62

CPC分类号： G06F21/6245 ,  G06F21/6227

摘要： One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to a process for privacy-enhanced machine learning and inference. A system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components can comprise a processing component that generates an access rule that modifies access to first data of a graph database, wherein the first data comprises first party information identified as private, a sampling component that executes a random walk for sampling a first graph of the graph database while employing the access rule, wherein the first graph comprises the first data, and an inference component that, based on the sampling, generates a prediction in response to a query, wherein the inference component avoids directly exposing the first party information in the prediction.