知搜-全球专利检索

  1. Login
  2. Sign Up

Search Results

949 records (took 0.035 seconds)

    Anomaly detection of model performance in an MLOps platform
    222.
    发明授权
    Anomaly detection of model performance in an MLOps platform 有权

    公开(公告)号：US11310141B2

    公开(公告)日：2022-04-19

    申请号：US16710836

    申请日：2019-12-11

    Applicant: Cisco Technology, Inc.

    Inventor： Vinay Kumar Kolar ,  Jean-Philippe Vasseur ,  Grégory Mermoud ,  Pierre-Andre Savalle

    IPC: H04L12/26 ,  G06N20/00 ,  H04L43/00 ,  G06F17/18 ,  G06K9/62

    Abstract: In one embodiment, a service tracks performance of a machine learning model over time. The machine learning model is used to monitor one or more computer networks based on data collected from the one or more computer networks. The service also tracks performance metrics associated with training of the machine learning model. The service determines that a degradation of the performance of the machine learning model is anomalous, based on the tracked performance of the machine learning model and performance metrics associated with training of the model. The service initiates a corrective measure for the degradation of the performance, in response to determining that the degradation of the performance is anomalous.

    PROTECTING DEVICE CLASSIFICATION SYSTEMS FROM ADVERSARIAL ENDPOINTS
    227.
    发明申请
    PROTECTING DEVICE CLASSIFICATION SYSTEMS FROM ADVERSARIAL ENDPOINTS 有权

    公开(公告)号：US20210297442A1

    公开(公告)日：2021-09-23

    申请号：US16823650

    申请日：2020-03-19

    Applicant: Cisco Technology, Inc.

    Inventor： Jean-Philippe Vasseur ,  Grégory Mermoud ,  Pierre-André Savalle ,  David Tedaldi

    IPC: H04L29/06

    Abstract: In various embodiments, a device classification service clusters devices in a network into a device type cluster based on attributes associated with the devices. The device classification service tracks changes to the device type cluster over time. The device classification service detects an attack on the device classification service by one or more of the devices based on the tracked changes to the device type cluster. The device classification service initiates a mitigation action for the detected attack on the device classification service.

    Refinement of device classification and clustering based on policy coloring
    228.
    发明授权
    Refinement of device classification and clustering based on policy coloring 有权

    公开(公告)号：US11128534B2

    公开(公告)日：2021-09-21

    申请号：US16194466

    申请日：2018-11-19

    Applicant: Cisco Technology, Inc.

    Inventor： Grégory Mermoud ,  Pierre-André Savalle ,  Jean-Philippe Vasseur

    IPC: H04L12/24 ,  G06K9/62 ,  G06K9/66 ,  H04L12/26 ,  H04L29/06

    Abstract: In one embodiment, a device classification service receives data indicative of network traffic policies assigned to a plurality of device types. The device classification service associates measures of policy restrictiveness with the device types, based on the received data indicative of the network traffic policies assigned to the plurality of device types. The device classification service determines misclassification costs associated with a machine learning-based device type classifier of the service misclassifying an endpoint device of one of the plurality device types with another of the plurality of device types, based on their associated measures of policy restrictiveness. The device classification service adjusts the machine learning-based device type classifier to account for the determined misclassification costs.

    DETERMINING CONTEXT AND ACTIONS FOR MACHINE LEARNING-DETECTED NETWORK ISSUES
    229.
    发明申请
    DETERMINING CONTEXT AND ACTIONS FOR MACHINE LEARNING-DETECTED NETWORK ISSUES 有权

    公开(公告)号：US20210281492A1

    公开(公告)日：2021-09-09

    申请号：US16812517

    申请日：2020-03-09

    Applicant: Cisco Technology, Inc.

    Inventor： Andrea Di Pietro ,  Javier Cruz Mota ,  Sukrit Dasgupta ,  Jean-Philippe Vasseur

    IPC: H04L12/24 ,  G06N20/00

    Abstract: In one embodiment, a network assurance service that monitors a network detects a network issue in the network using a machine learning model and based on telemetry data captured in the network. The service assigns the detected network issue to an issue cluster by applying clustering to the detected network issue and to a plurality of previously detected network issues. The service selects a set of one or more actions for the detected network issue from among a plurality of actions associated with the previously detected network issues in the issue cluster. The service obtains context data for the detected network issue. The service provides, to a user interface, an indication of the detected network issue, the obtained context data for the detected network issue, and the selected set of one or more actions.

Patent Agency Ranking