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    METHOD AND DEVICE WITH NEURAL NETWORK
    2.
    发明公开
    METHOD AND DEVICE WITH NEURAL NETWORK 审中-公开

    公开(公告)号：US20230252283A1

    公开(公告)日：2023-08-10

    申请号：US17982618

    申请日：2022-11-08

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Jaeyun LEE ,  Kiho CHO ,  Jiwhan KIM ,  Sungun PARK ,  Jaejoon HAN

    IPC: G06N3/08

    CPC classification number: G06N3/08

    Abstract: A processor-implemented method with a neural network includes: generating a first intermediate vector by applying a first activation function to first nodes in a first intermediate layer adjacent to an input layer among intermediate layers of the neural network; transferring the first intermediate vector to second nodes in a second intermediate layer adjacent to an output layer among the intermediate layers; generating a second intermediate vector by applying a second activation function to the second nodes; and applying the second intermediate vector to an output layer of the neural network, wherein the second activation function is determined by a first hyperparameter of which a multiplier of the second activation function is associated with an ascending slope of the second activation function and a second hyperparameter of which the multiplier is associated with a descending slope of the second activation function to fix a peak value of the second activation function.

    METHOD AND APPARATUS WITH BIOMETRIC SPOOFING CONSIDERATION
    3.
    发明申请
    METHOD AND APPARATUS WITH BIOMETRIC SPOOFING CONSIDERATION 有权

    公开(公告)号：US20220319238A1

    公开(公告)日：2022-10-06

    申请号：US17670028

    申请日：2022-02-11

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Jiwhan KIM ,  Kyuhong KIM ,  Sungun PARK ,  Jaejoon HAN

    IPC: G06V40/40 ,  G06V10/82 ,  G06V40/13 ,  G06V40/18 ,  G06V40/16

    Abstract: A method and apparatus with spoofing consideration is provided. The method includes implementing convolution block(s) of a machine learning model that determines whether biometric information in an input image is spoofed, including generating a feature map including channels for an input feature map for the input image using convolution layers of a convolution block of the convolution block(s), in response to a total number of input channels of the convolution block and a total number of output channels of the convolution block being different, matching the total number of input channels of the convolution block and the total number of output channels of the convolution block by adding a zero-padding channel to the input feature map using a skip connection structure, and generating output data for determining whether the biometric information is spoofed, dependent on the generated feature map and a result of the skip connection structure.

    METHOD AND APPARATUS WITH ANTI-SPOOFING
    4.
    发明申请
    METHOD AND APPARATUS WITH ANTI-SPOOFING 有权

    公开(公告)号：US20250022310A1

    公开(公告)日：2025-01-16

    申请号：US18440319

    申请日：2024-02-13

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Sungun PARK ,  Kyuhong KIM

    IPC: G06V40/12 ,  G06F18/214 ,  G06F18/22 ,  G06F21/32 ,  G06N3/04 ,  G06N7/01 ,  G06V10/762 ,  G06V10/764

    Abstract: A processor-implemented anti-spoofing method includes: extracting an input embedding vector from input biometric information; obtaining a fake embedding vector of a predetermined fake model based on fake biometric information; obtaining either one or both of a real embedding vector of a predetermined real model and an enrolled embedding vector of an enrollment model the enrollment model being generated based on biometric information of an enrolled user; determining a confidence value of the input embedding vector based on the fake embedding vector and either one or both of the real embedding vector and the enrolled embedding vector; and determining whether the input biometric information is forged, based on the confidence value.

    ANTI-SPOOFING METHOD AND APPARATUS
    5.
    发明申请
    ANTI-SPOOFING METHOD AND APPARATUS 有权

    公开(公告)号：US20220318354A1

    公开(公告)日：2022-10-06

    申请号：US17668618

    申请日：2022-02-10

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Sungun PARK ,  Kyuhong KIM ,  Jaejoon HAN

    IPC: G06F21/32 ,  G06V40/40 ,  G06V40/12 ,  G06V40/50 ,  G06V10/74 ,  G06V10/82

    Abstract: An anti-spoofing method includes detecting first information related to whether the biometric information is forged, based on a first output vector of a first neural network configured to detect whether the biometric information is forged from the input data, extracting an input embedding vector including a feature of biometric information of a user from input data including the biometric information, calculating a similarity value of the input embedding vector based on a fake embedding vector and either one or both of a real embedding vector and an enrollment embedding vector that are provided in advance, calculating a total forgery score based on the similarity value and a second output vector of the first neural network according to whether the first information is detected, and detecting second information related to whether the biometric information is forged, based on the total forgery score.

    METHOD AND APPARATUS THAT DETECTS SPOOFING OF BIOMETRIC INFORMATION
    7.
    发明申请
    METHOD AND APPARATUS THAT DETECTS SPOOFING OF BIOMETRIC INFORMATION 有权

    公开(公告)号：US20220188556A1

    公开(公告)日：2022-06-16

    申请号：US17340389

    申请日：2021-06-07

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Sung-Jae CHO ,  Kyuhong KIM ,  Sungun PARK ,  Geuntae BAE ,  Jaejoon HAN

    IPC: G06K9/00 ,  G06F21/32

    Abstract: A method and apparatus that detects whether biometric information is spoofed is provided. The method receives, from a sensor, first feature information including a static feature associated with biometric information of a user, and a dynamic feature obtained based on images related to the biometric information, detects whether the biometric information is spoofed based on a first score calculated based on the first feature information, fuses the first score with a second score calculated based on second feature information extracted from the images, based on a result of the detecting that the biometric information is spoofed based on the first score, and detects that the biometric information is spoofed based on a fused score.

    METHOD AND APPARATUS WITH BIOMETRIC INFORMATION SPOOF DETECTION
    9.
    发明申请
    METHOD AND APPARATUS WITH BIOMETRIC INFORMATION SPOOF DETECTION 有权

    公开(公告)号：US20220318376A1

    公开(公告)日：2022-10-06

    申请号：US17552597

    申请日：2021-12-16

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Sung-Jae CHO ,  Kyuhong KIM ,  Sungun PARK ,  Jiwhan KIM ,  Jaejoon HAN

    IPC: G06F21/55 ,  G06N3/04 ,  G06N7/00

    Abstract: A method with biometric information spoof detection includes extracting an embedding vector from an intermediate layer of a neural network configured to detect whether biometric information of a user is spoofed from an image including the biometric information; detecting first information regarding whether the biometric information is spoofed, based on the embedding vector; and detecting second information regarding whether the biometric information is spoofed based on whether the first information is detected, using an output vector output from an output layer of the neural network.

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