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1.
公开(公告)号:US20230179628A1
公开(公告)日:2023-06-08
申请号:US18059496
申请日:2022-11-29
Applicant: SRI International
Inventor: Phillip Porras , Kenneth Nitz , Keith Skinner , Dayne Freitag
CPC classification number: H04L63/1483 , G06F40/30
Abstract: A method of determining an adversarial attack playbook includes receiving, from an adversarial actor, an electronic communication intended for a target user. The method includes engaging in a deep dialog with the adversarial actor by deploying a synthetic persona dynamically during the electronic communication. The deep dialog includes multiple rounds of communication exchanges. The method includes determining a length and type of the deep dialog to obtain attributes related to the adversarial actor. The method includes identifying a conversational pattern from the deep dialog. The conversational pattern comprises dialog interaction elements utilized by the adversarial actor. The method includes dynamically producing, based on the conversational pattern, the playbook associated with the adversarial actor. The playbook is indicative of a dialog interaction strategy implemented by the adversarial actor. The method includes providing the playbook to a social engineering attack (SEA) system in order to detect, avoid and/or mitigate future attacks.
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公开(公告)号:US20170160813A1
公开(公告)日:2017-06-08
申请号:US15332494
申请日:2016-10-24
Applicant: SRI International
Inventor: Ajay Divakaran , Amir Tamrakar , Girish Acharya , William Mark , Greg Ho , Jihua Huang , David Salter , Edgar Kalns , Michael Wessel , Min Yin , James Carpenter , Brent Mombourquette , Kenneth Nitz , Elizabeth Shriberg , Eric Law , Michael Frandsen , Hyong-Gyun Kim , Cory Albright , Andreas Tsiartas
IPC: G06F3/01 , G06F3/00 , G06F3/16 , G06N99/00 , G10L25/63 , G10L15/22 , G10L15/06 , G10L15/02 , G06K9/00 , G10L15/18
CPC classification number: G06F3/017 , G06F3/0304 , G06F3/167 , G06K9/00221 , G06K9/00335 , G06N3/006 , G06N5/022 , G06N7/005 , G06N20/00 , G10L15/1815 , G10L15/1822 , G10L15/22 , G10L25/63 , G10L2015/228
Abstract: Methods, computing devices, and computer-program products are provided for implementing a virtual personal assistant. In various implementations, a virtual personal assistant can be configured to receive sensory input, including at least two different types of information. The virtual personal assistant can further be configured to determine semantic information from the sensory input, and to identify a context-specific framework. The virtual personal assistant can further be configured to determine a current intent. Determining the current intent can include using the semantic information and the context-specific framework. The virtual personal assistant can further be configured to determine a current input state. Determining the current input state can include using the semantic information and one or more behavioral models. The behavioral models can include one or more interpretations of previously-provided semantic information. The virtual personal assistant can further be configured to determine an action using the current intent and the current input state.
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公开(公告)号:US12267361B2
公开(公告)日:2025-04-01
申请号:US18059496
申请日:2022-11-29
Applicant: SRI International
Inventor: Phillip Porras , Kenneth Nitz , Keith Skinner , Dayne Freitag
Abstract: A method of determining an adversarial attack playbook includes receiving, from an adversarial actor, an electronic communication intended for a target user. The method includes engaging in a deep dialog with the adversarial actor by deploying a synthetic persona dynamically during the electronic communication. The deep dialog includes multiple rounds of communication exchanges. The method includes determining a length and type of the deep dialog to obtain attributes related to the adversarial actor. The method includes identifying a conversational pattern from the deep dialog. The conversational pattern comprises dialog interaction elements utilized by the adversarial actor. The method includes dynamically producing, based on the conversational pattern, the playbook associated with the adversarial actor. The playbook is indicative of a dialog interaction strategy implemented by the adversarial actor. The method includes providing the playbook to a social engineering attack (SEA) system in order to detect, avoid and/or mitigate future attacks.
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公开(公告)号:US12282606B2
公开(公告)日:2025-04-22
申请号:US17107958
申请日:2020-12-01
Applicant: SRI International
Inventor: Ajay Divakaran , Amir Tamrakar , Girish Acharya , William Mark , Greg Ho , Jihua Huang , David Salter , Edgar Kalns , Michael Wessel , Min Yin , James Carpenter , Brent Mombourquette , Kenneth Nitz , Elizabeth Shriberg , Eric Law , Michael Frandsen , Hyong-Gyun Kim , Cory Albright , Andreas Tsiartas
IPC: G06F3/03 , G06F3/01 , G06F3/16 , G06N3/006 , G06N5/022 , G06N20/00 , G06N20/10 , G06V40/16 , G06V40/20 , G10L15/18 , G10L15/22 , G10L25/63 , G06N7/01
Abstract: Methods, computing devices, and computer-program products are provided for implementing a virtual personal assistant. In various implementations, a virtual personal assistant can be configured to receive sensory input, including at least two different types of information. The virtual personal assistant can further be configured to determine semantic information from the sensory input, and to identify a context-specific framework. The virtual personal assistant can further be configured to determine a current intent. Determining the current intent can include using the semantic information and the context-specific framework. The virtual personal assistant can further be configured to determine a current input state. Determining the current input state can include using the semantic information and one or more behavioral models. The behavioral models can include one or more interpretations of previously-provided semantic information. The virtual personal assistant can further be configured to determine an action using the current intent and the current input state.
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公开(公告)号:US20210081056A1
公开(公告)日:2021-03-18
申请号:US17107958
申请日:2020-12-01
Applicant: SRI International
Inventor: Ajay Divakaran , Amir Tamrakar , Girish Acharya , William Mark , Greg Ho , Jihua Huang , David Salter , Edgar Kalns , Michael Wessel , Min Yin , James Carpenter , Brent Mombourquette , Kenneth Nitz , Elizabeth Shriberg , Eric Law , Michael Frandsen , Hyong-Gyun Kim , Cory Albright , Andreas Tsiartas
IPC: G06F3/01 , G06K9/00 , G06F3/16 , G10L15/18 , G10L25/63 , G10L15/22 , G06N20/00 , G06F3/03 , G06N5/02 , G06N3/00 , G06N20/10
Abstract: Methods, computing devices, and computer-program products are provided for implementing a virtual personal assistant. In various implementations, a virtual personal assistant can be configured to receive sensory input, including at least two different types of information. The virtual personal assistant can further be configured to determine semantic information from the sensory input, and to identify a context-specific framework. The virtual personal assistant can further be configured to determine a current intent. Determining the current intent can include using the semantic information and the context-specific framework. The virtual personal assistant can further be configured to determine a current input state. Determining the current input state can include using the semantic information and one or more behavioral models. The behavioral models can include one or more interpretations of previously-provided semantic information. The virtual personal assistant can further be configured to determine an action using the current intent and the current input state.
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公开(公告)号:US10884503B2
公开(公告)日:2021-01-05
申请号:US15332494
申请日:2016-10-24
Applicant: SRI International
Inventor: Ajay Divakaran , Amir Tamrakar , Girish Acharya , William Mark , Greg Ho , Jihua Huang , David Salter , Edgar Kalns , Michael Wessel , Min Yin , James Carpenter , Brent Mombourquette , Kenneth Nitz , Elizabeth Shriberg , Eric Law , Michael Frandsen , Hyong-Gyun Kim , Cory Albright , Andreas Tsiartas
IPC: G06F3/03 , G06F3/01 , G06K9/00 , G06F3/16 , G10L15/18 , G10L25/63 , G10L15/22 , G06N20/00 , G06N5/02 , G06N3/00 , G06N7/00
Abstract: Methods, computing devices, and computer-program products are provided for implementing a virtual personal assistant. In various implementations, a virtual personal assistant can be configured to receive sensory input, including at least two different types of information. The virtual personal assistant can further be configured to determine semantic information from the sensory input, and to identify a context-specific framework. The virtual personal assistant can further be configured to determine a current intent. Determining the current intent can include using the semantic information and the context-specific framework. The virtual personal assistant can further be configured to determine a current input state. Determining the current input state can include using the semantic information and one or more behavioral models. The behavioral models can include one or more interpretations of previously-provided semantic information. The virtual personal assistant can further be configured to determine an action using the current intent and the current input state.
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