公开(公告)号：US20180336170A1

公开(公告)日：2018-11-22

申请号：US16050763

申请日：2018-07-31

Applicant: Google LLC

Inventor： Matthew SHARIFI ,  David PETROU

IPC: G06F17/22 ,  G06F9/48 ,  G06F9/451 ,  G06F3/0482 ,  G06F3/0484

Abstract: Systems and methods simulate a hyperlink in regular content displayed on a screen. An example method can include generating, responsive to detecting a simulated hyperlink indication, a centered selection from content displayed on a display of a computing device, providing the centered selection to a simulated hyperlink model that predicts an operation given the centered selection, and initiating the operation using an intent associated with a mobile application. The simulated hyperlink model may also provide, from the centered selection, an intelligent selection used the intent's parameter. Another method includes identifying documents having a hyperlink whitelisted websites, generating positive training examples for a simulated hyperlink model using the documents, each positive training example having a centered selection, a web site, and a mobile application mapped to the website, and training the simulated hyperlink model, using the positive training examples, to predict an operation for the mobile application given the centered selection.

公开(公告)号：US20190019110A1

公开(公告)日：2019-01-17

申请号：US16133395

申请日：2018-09-17

Applicant: Google LLC

Inventor： Matthew SHARIFI ,  Kai WANG ,  David PETROU

IPC: G06N99/00 ,  G06F21/31 ,  G06F21/36 ,  H04L29/06 ,  H04W4/02 ,  H04W12/06 ,  H04W4/80 ,  H04W12/10 ,  H04W12/12

CPC classification number: G06N20/00 ,  G06F21/316 ,  G06F21/36 ,  H04L63/083 ,  H04L63/102 ,  H04W4/029 ,  H04W4/80 ,  H04W12/00508 ,  H04W12/06 ,  H04W12/10 ,  H04W12/1206

Abstract: Systems and methods are provided for a content-based security for computing devices. An example method includes identifying content rendered by a mobile application, the content being rendered during a session, generating feature vectors from the content and determining that the feature vectors do not match a classification model. The method also includes providing, in response to the determination that the feature vectors do not match the classification model, a challenge configured to authenticate a user of the mobile device. Another example method includes determining a computing device is located at a trusted location, capturing information from a session, the information coming from content rendered by a mobile application during the session, generating feature vectors for the session, and repeating this until a training criteria is met. The method also includes training a classification model using the feature vectors and authenticating a user of the device using the trained classification model.

公开(公告)号：US20200348813A1

公开(公告)日：2020-11-05

申请号：US16935681

申请日：2020-07-22

Applicant: Google LLC

Inventor： Matthew SHARIFI ,  David PETROU

IPC: G06F3/0486 ,  G06F3/16 ,  G06F9/54 ,  G06F3/0484 ,  G06F3/0488

Abstract: Implementations provide an improved drag-and-drop operation on a mobile device. For example, a method includes identifying a drag area in a user interface of a first mobile application in response to a drag command and receiving a drop location in a second mobile application that differs from the first mobile application. The method may also include determining that a drop location is a text input control and the drag area is not text-based, performing a search for a text description of the drag area, and pasting the text description into the text input control. The method may also include determining that a drop location is an image input control and that the drag area is text based, performing a search using the drag area for a responsive image, and pasting the responsive image into the image input control.

公开(公告)号：US20190205005A1

公开(公告)日：2019-07-04

申请号：US16295638

申请日：2019-03-07

Applicant: Google LLC

Inventor： Matthew SHARIFI ,  David PETROU

IPC: G06F3/0486 ,  G06F3/0488 ,  G06F9/54 ,  G06F3/16 ,  G06F3/0484

CPC classification number: G06F3/0486 ,  G06F3/04842 ,  G06F3/0488 ,  G06F3/04883 ,  G06F3/167 ,  G06F9/543 ,  G06F2203/04803

Abstract: Implementations provide an improved drag-and-drop operation on a mobile device. For example, a method includes identifying a drag area in a user interface of a first mobile application in response to a drag command and receiving a drop location in a second mobile application that differs from the first mobile application. The method may also include determining that a drop location is a text input control and the drag area is not text-based, performing a search for a text description of the drag area, and pasting the text description into the text input control. The method may also include determining that a drop location is an image input control and that the drag area is text based, performing a search using the drag area for a responsive image, and pasting the responsive image into the image input control.