Adaptive natural language steganography and watermarking for virtual assistants

    公开(公告)号:US11138384B2

    公开(公告)日:2021-10-05

    申请号:US16662755

    申请日:2019-10-24

    申请人: Google LLC

    IPC分类号: G10L15/18 G10L15/22 G06F40/30

    摘要: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for announcing and detecting automated conversation are disclosed. One of the methods includes initiating, over a natural language communication channel, a conversation with a communication participant using a natural language communication method that includes a dialogue of natural language communications. The communication participant is determined to be automated using a pre-defined adaptive interactive protocol that specifies natural language linguistic transformations defined in a sequence. The conversation can be transitioned to a communication method that is different form the natural language communication method in response to determining that the communication participant is automated.

    TRANSITIONING BETWEEN PRIVATE AND NON-PRIVATE STATE

    公开(公告)号:US20210409361A1

    公开(公告)日:2021-12-30

    申请号:US17474756

    申请日:2021-09-14

    申请人: Google LLC

    IPC分类号: H04L12/58 G06Q10/10

    摘要: This specification is generally directed to techniques for automatically transitioning applications—especially those that enable exchange of messages between users—into and/or out of a private state based on a variety of signals associated with the messages and/or the participants themselves. In various implementations, an ongoing message exchange thread between two or more participants operating two or more respective message exchange clients may be examined. Based at least in part on the examining, a likelihood may be determined that message(s) directed by one of the participants to another of the participants as part of the ongoing message exchange thread would be deemed private by at least a given participant of the two or more participants. A determination may be made of whether the determined likelihood satisfies one or more thresholds, and in response, one or more of the message exchange clients may be transitioned into a private state.

    TRANSITIONING BETWEEN PRIVATE AND NON-PRIVATE STATE

    公开(公告)号:US20190394151A1

    公开(公告)日:2019-12-26

    申请号:US16563033

    申请日:2019-09-06

    申请人: Google LLC

    IPC分类号: H04L12/58 G06Q10/10

    摘要: This specification is generally directed to techniques for automatically transitioning applications—especially those that enable exchange of messages between users—into and/or out of a private state based on a variety of signals associated with the messages and/or the participants themselves. In various implementations, an ongoing message exchange thread between two or more participants operating two or more respective message exchange clients may be examined. Based at least in part on the examining, a likelihood may be determined that message(s) directed by one of the participants to another of the participants as part of the ongoing message exchange thread would be deemed private by at least a given participant of the two or more participants. A determination may be made of whether the determined likelihood satisfies one or more thresholds, and in response, one or more of the message exchange clients may be transitioned into a private state.

    TRANSITIONING BETWEEN PRIVATE AND NON-PRIVATE STATE

    公开(公告)号:US20230308407A1

    公开(公告)日:2023-09-28

    申请号:US18204119

    申请日:2023-05-31

    申请人: GOOGLE LLC

    摘要: This specification is generally directed to techniques for automatically transitioning applications-especially those that enable exchange of messages between users-into and/or out of a private state based on a variety of signals associated with the messages and/or the participants themselves. In various implementations, an ongoing message exchange thread between two or more participants operating two or more respective message exchange clients may be examined. Based at least in part on the examining, a likelihood may be determined that message(s) directed by one of the participants to another of the participants as part of the ongoing message exchange thread would be deemed private by at least a given participant of the two or more participants. A determination may be made of whether the determined likelihood satisfies one or more thresholds, and in response, one or more of the message exchange clients may be transitioned into a private state.

    AUTOMATIC GENERATION AND TRANSMISSION OF A STATUS OF A USER AND/OR PREDICTED DURATION OF THE STATUS

    公开(公告)号:US20220391772A1

    公开(公告)日:2022-12-08

    申请号:US17888091

    申请日:2022-08-15

    申请人: GOOGLE LLC

    IPC分类号: G06N20/00 G07C1/00 G06Q10/10

    摘要: Automatically generating and/or automatically transmitting a status of a user. The status is transmitted for presentation to one or more additional users via corresponding computing device(s) of the additional user(s). Some implementations are directed to determining both: a status of a user, and a predicted duration of that status; and generating a status notification that includes the status and that indicates the predicted duration. Some implementations are additionally or alternatively directed to utilizing at least one trust criterion in determining whether to provide a status notification of a user to an additional user and/or in determining what status notification to provide to the additional user. Some implementations are additionally or alternatively directed to training and/or use of machine learning model(s) in determining a status of a user and/or a predicted duration of that status.

    Context Aware Chat History Assistance Using Machine-Learned Models

    公开(公告)号:US20190034483A1

    公开(公告)日:2019-01-31

    申请号:US15758363

    申请日:2017-06-12

    申请人: Google LLC

    IPC分类号: G06F17/30 G06N99/00

    摘要: The present disclosure provides systems and methods that leverage machine learning to implement context determination and/or text extraction in computing device applications. Particular embodiments can include and use a machine-learned text extraction model that has been trained to receive one or more messages containing text and determine one or more portions of extracted text from the one or more messages as well as a corresponding user context assigned to each of the one or more portions of extracted text. In addition, or alternatively, particular embodiments can include and use a machine-learned context determination model that has been trained to receive one or more portions of device data from one or more input sources available at the mobile computing device and determine a current user context indicative of one or more activities in which a user of the mobile computing device is currently engaged.

    ADAPTIVE NATURAL LANGUAGE STEGANOGRAPHY AND WATERMARKING FOR VIRTUAL ASSISTANTS

    公开(公告)号:US20230342554A1

    公开(公告)日:2023-10-26

    申请号:US18217351

    申请日:2023-06-30

    申请人: GOOGLE LLC

    IPC分类号: G06F40/30

    CPC分类号: G06F40/30 G10L15/1815

    摘要: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for announcing and detecting automated conversation are disclosed. One of the methods includes initiating, over a natural language communication channel, a conversation with a communication participant using a natural language communication method that includes a dialogue of natural language communications. The communication participant is determined to be automated using a pre-defined adaptive interactive protocol that specifies natural language linguistic transformations defined in a sequence. The conversation can be transitioned to a communication method that is different form the natural language communication method in response to determining that the communication participant is automated.

    Adaptive natural language steganography and watermarking for virtual assistants

    公开(公告)号:US11734515B2

    公开(公告)日:2023-08-22

    申请号:US17492863

    申请日:2021-10-04

    申请人: GOOGLE LLC

    IPC分类号: G10L15/18 G06F40/30 G10L15/22

    摘要: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for announcing and detecting automated conversation are disclosed. One of the methods includes initiating, over a natural language communication channel, a conversation with a communication participant using a natural language communication method that includes a dialogue of natural language communications. The communication participant is determined to be automated using a pre-defined adaptive interactive protocol that specifies natural language linguistic transformations defined in a sequence. The conversation can be transitioned to a communication method that is different form the natural language communication method in response to determining that the communication participant is automated.

    Transitioning between private and non-private state

    公开(公告)号:US11695716B2

    公开(公告)日:2023-07-04

    申请号:US17474756

    申请日:2021-09-14

    申请人: Google LLC

    摘要: This specification is generally directed to techniques for automatically transitioning applications—especially those that enable exchange of messages between users—into and/or out of a private state based on a variety of signals associated with the messages and/or the participants themselves. In various implementations, an ongoing message exchange thread between two or more participants operating two or more respective message exchange clients may be examined. Based at least in part on the examining, a likelihood may be determined that message(s) directed by one of the participants to another of the participants as part of the ongoing message exchange thread would be deemed private by at least a given participant of the two or more participants. A determination may be made of whether the determined likelihood satisfies one or more thresholds, and in response, one or more of the message exchange clients may be transitioned into a private state.