METHOD AND APPARATUS FOR FACIAL RECOGNITION
    3.
    发明公开

    公开(公告)号:US20240221340A1

    公开(公告)日:2024-07-04

    申请号:US17918816

    申请日:2022-04-27

    摘要: Embodiments of this application relate to the terminal field, and provide a method and an apparatus for facial recognition so as to improve security of facial recognition. The method is applied to an electronic device, where the electronic device includes a TOF camera module, and the TOF camera module includes a transmitter configured to transmit a light signal. The method includes: receiving a first operation by a user, where the first operation is used to trigger the TOF camera module to work; controlling the transmitter to work at a first current value; controlling, in a case that the transmitter is working at a first current value, the transmitter to work at a second current value, where the second light intensity is higher than the first light intensity.

    DEEPFAKE DETECTION USING SYNCHRONOUS OBSERVATIONS OF MACHINE LEARNING RESIDUALS

    公开(公告)号:US20240127630A1

    公开(公告)日:2024-04-18

    申请号:US17967254

    申请日:2022-10-17

    IPC分类号: G06V40/40 G06V20/40 G06V40/16

    摘要: Systems, methods, and other embodiments associated with computer deepfake detection are described. In one embodiment, a method includes converting audio-visual content of a person delivering a speech into a set of time series signals. Residual time series signals of residuals that indicate an extent to which the time series signals differ from machine learning estimates of authentic delivery of the speech by the person are generated. Residual values from one synchronous observation of the residual time series signals are placed into an array of residual values for a point in time. A sequential analysis of the residual values of the array is performed to detect an anomaly in the residual values for the point in time. In response to detection of the anomaly, an alert that deepfake content is detected in the audio-visual content is generated.