公开(公告)号：US20240320525A1

公开(公告)日：2024-09-26

申请号：US18678657

申请日：2024-05-30

Applicant: FOUNDATION OF SOONGSIL UNIVERSITY-INDUSTRY COOPERATION

Inventor： Dae Seon CHOI ,  Yoon Soo AN

IPC: G06N5/04

CPC classification number: G06N5/04

Abstract: disclosure An AI model inference apparatus includes: a processor; and a memory connected to the processor, wherein the memory stores program instructions executed by the processor to use an output value of a target model to determine whether the target model corresponds to any of a graybox environment or a blackbox environment, input the same data as the target model to a plurality of AI models included in a candidate model group to acquire the output value, process output values of each of the plurality of AI models differently according to the environment of the target model to acquire a first feature or a second feature, and input the output values of each of the plurality of AI models and the first feature or the second feature to a pre-trained model type classifier to determine the AI model corresponding to the target model.

公开(公告)号：US20210266740A1

公开(公告)日：2021-08-26

申请号：US17256230

申请日：2018-12-31

Applicant: FOUNDATION OF SOONGSIL UNIVERSITY-INDUSTRY COOPERATION

Inventor： Dae Seon CHOI

IPC: H04W12/06 ,  H04W4/02 ,  G06N20/00 ,  H04W12/65 ,  H04W12/68 ,  H04W12/63

Abstract: Provided is a mobile phone authentication method using implicit authentication, the method including the steps of: by a server, receiving behavior data and environment information data from a user terminal when a user checks an authentication number for authentication of a mobile phone user; by the server, detecting a start point of a behavior of the user for checking the authentication number by performing peak detection in the received behavior data, and storing behavior data from the detected start point; and by the server, extracting feature data from the received environment information data and learning the extracted feature data to build a learning model.