Sri International

Paul Stern Kalmar

Dayne B Freitag

Phillip Andrew Porras

Kenneth C Nitz

Girish Acharya

John James Byrnes

Yi Yao

Keith M Skinner

Michael Wessel

Anirban Roy

Louise Yarnall

Zachary Weiler

A method for creating a training playbook to train a potential target of social engineering against an attack by an adversarial actor includes generating a training playbook based on a plurality of conversational patterns from a respective plurality of dialogs between non-human synthetic persona with the adversarial actor. A given conversational pattern of the plurality of conversational patterns comprises one or more dialog interaction elements utilized by the adversarial actor during a respective dialog of the plurality of dialogs. The method also includes configuring a dialog model for a second synthetic persona to engage in a training dialog with a target trainee to train the target trainee to detect, avoid and/or mitigate a future attack by the adversarial actor. The dialog model is configured to emulate the future attack by the adversarial actor by utilizing the training playbook. The method additionally includes outputting the training playbook.

Systems and methods for training against adversarial attacks

This disclosure describes machine learning techniques for capturing human knowledge for performing a task. In one example, a video device obtains video data of a first user performing the task and one or more sensors generate sensor data during performance of the task. An audio device obtains audio data describing performance of the task. A computation engine applies a machine learning system to correlate the video data to the audio data and sensor data to identify portions of the video, sensor, and audio data that depict a same step of a plurality of steps for performing the task. The machine learning system further processes the correlated data to update a domain model defining performance of the task. A training unit applies the domain model to generate training information for performing the task. An output device outputs the training information for use in training a second user to perform the task.

Machine learning system for technical knowledge capture

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La Mesa, CA, United States of America

Paul Stern Kalmar