Patents by Inventor Cory CORNELIUS
Cory CORNELIUS has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20230205918Abstract: Methods, apparatus, systems and articles of manufacture for distributed use of a machine learning model are disclosed. An example edge device includes a model partitioner to partition a machine learning model received from an aggregator into private layers and public layers. A public model data store is implemented outside of a trusted execution environment of the edge device. The model partitioner is to store the public layers in the public model data store. A private model data store is implemented within the trusted execution environment. The model partitioner is to store the private layers in the private model data store.Type: ApplicationFiled: November 28, 2022Publication date: June 29, 2023Inventors: Micah Sheller, Cory Cornelius
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Patent number: 11657162Abstract: In one example an apparatus comprises a memory and a processor to create, from a first deep neural network (DNN) model, a first plurality of DNN models, generate a first set of adversarial examples that are misclassified by the first plurality of deep neural network (DNN) models, determine a first set of activation path differentials between the first plurality of adversarial examples, generate, from the first set of activation path differentials, at least one composite adversarial example which incorporates at least one intersecting critical path that is shared between at least two adversarial examples in the first set of adversarial examples, and use the at least one composite adversarial example to generate a set of inputs for a subsequent training iteration of the DNN model. Other examples may be described.Type: GrantFiled: March 22, 2019Date of Patent: May 23, 2023Assignee: INTEL CORPORATIONInventors: Michael Kounavis, Antonios Papadimitriou, Anindya Sankar Paul, Micah Sheller, Li Chen, Cory Cornelius, Brandon Edwards
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Patent number: 11556730Abstract: Methods, apparatus, systems and articles of manufacture for distributed use of a machine learning model are disclosed. An example edge device includes a model partitioner to partition a machine learning model received from an aggregator into private layers and public layers. A public model data store is implemented outside of a trusted execution environment of the edge device. The model partitioner is to store the public layers in the public model data store. A private model data store is implemented within the trusted execution environment. The model partitioner is to store the private layers in the private model data store.Type: GrantFiled: March 30, 2018Date of Patent: January 17, 2023Assignee: Intel CorporationInventors: Micah Sheller, Cory Cornelius
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Patent number: 11526745Abstract: Methods, apparatus, systems and articles of manufacture for federated training of a neural network using trusted edge devices are disclosed. An example system includes an aggregator device to aggregate model updates provided by one or more edge devices. The one or more edge devices to implement respective neural networks, and provide the model updates to the aggregator device. At least one of the edge devices to implement the neural network within a trusted execution environment.Type: GrantFiled: February 8, 2018Date of Patent: December 13, 2022Assignee: Intel CorporationInventors: Micah Sheller, Cory Cornelius, Jason Martin, Yonghong Huang, Shih-Han Wang
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Patent number: 11501001Abstract: Embodiments discussed herein may be generally directed to systems and techniques to generate a quality score based on an observation and an action caused by an actor agent during a testing phase. Embodiments also include determining a temporal difference between the quality score and a previous quality score based on a previous observation and a previous action, determining whether the temporal difference exceeds a threshold value, and generating an attack indication in response to determining the temporal difference exceeds the threshold value.Type: GrantFiled: June 24, 2020Date of Patent: November 15, 2022Assignee: INTEL CORPORATIONInventors: Shih-Han Wang, Yonghong Huang, Micah Sheller, Cory Cornelius
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Publication number: 20200327238Abstract: Embodiments discussed herein may be generally directed to systems and techniques to generate a quality score based on an observation and an action caused by an actor agent during a testing phase. Embodiments also include determining a temporal difference between the quality score and a previous quality score based on a previous observation and a previous action, determining whether the temporal difference exceeds a threshold value, and generating an attack indication in response to determining the temporal difference exceeds the threshold value.Type: ApplicationFiled: June 24, 2020Publication date: October 15, 2020Applicant: INTEL CORPORATIONInventors: Shih-Han Wang, Yonghong Huang, Micah Sheller, Cory Cornelius
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Patent number: 10749863Abstract: In one embodiment, an apparatus includes: a bioimpedance sensor to generate bioimpedance information based on bioimpedance sample information from at least some of a plurality of electrodes to be adapted about a portion of a person; at least one biometric sensor to generate biometric information based on biometric sample information from at least some of the plurality of electrodes; at least one environmental sensor to generate environmental context data; and an integration circuit to receive the bioimpedance information, the biometric information and the environmental context data and to adjust the bioimpedance information based at least in part on a value of one or more of the biometric information and the environmental context data. Other embodiments are described and claimed.Type: GrantFiled: February 22, 2017Date of Patent: August 18, 2020Assignee: Intel CorporationInventors: Cory Cornelius, Jason Martin, Ramune Nagisetty, Micah J. Sheller, Thao W. Xiong, Reese Bowes
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Patent number: 10726134Abstract: Embodiments discussed herein may be generally directed to systems and techniques to generate a quality score based on an observation and an action caused by an actor agent during a testing phase. Embodiments also include determining a temporal difference between the quality score and a previous quality score based on a previous observation and a previous action, determining whether the temporal difference exceeds a threshold value, and generating an attack indication in response to determining the temporal difference exceeds the threshold value.Type: GrantFiled: August 14, 2018Date of Patent: July 28, 2020Assignee: INTEL CORPORATIONInventors: Shih-Han Wang, Yonghong Huang, Micah Sheller, Cory Cornelius
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Patent number: 10511600Abstract: Various embodiments are generally directed to an apparatus, method, and other techniques to maintain user authentications with common trusted devices. If a user is in possession of a first computing device (e.g., a smartphone), an unlocked state of the first trusted device is maintained if the user is using a nearby trusted device (e.g., a computer) within a certain amount of time. If the first trusted device is in a pocket or other container, a longer span of time is granted to the user to register an on-body state.Type: GrantFiled: January 8, 2018Date of Patent: December 17, 2019Assignee: Intel CorporationInventors: Micah J. Sheller, Yonghong Huang, Narjala P. Bhasker, Jason Martin, Cory Cornelius
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Publication number: 20190220605Abstract: In one example an apparatus comprises a memory and a processor to create, from a first deep neural network (DNN) model, a first plurality of DNN models, generate a first set of adversarial examples that are misclassified by the first plurality of deep neural network (DNN) models, determine a first set of activation path differentials between the first plurality of adversarial examples, generate, from the first set of activation path differentials, at least one composite adversarial example which incorporates at least one intersecting critical path that is shared between at least two adversarial examples in the first set of adversarial examples, and use the at least one composite adversarial example to generate a set of inputs for a subsequent training iteration of the DNN model. Other examples may be described.Type: ApplicationFiled: March 22, 2019Publication date: July 18, 2019Applicant: Intel CorporationInventors: Michael Kounavis, Antonios Papadimitriou, Anindya Paul, Micah Sheller, Li Chen, Cory Cornelius, Brandon Edwards
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Patent number: 10218716Abstract: Technologies for analyzing a Uniform Resource Locator (URL) include a multi-stage URL analysis system. The multi-stage URL analysis system analyzes the URL using a multi-stage analysis. In the first stage, the multi-stage URL analysis system analyzes the URL using an ensemble lexical analysis. In the second stage, the multi-stage URL analysis system analyzes the URL based on third-party detection results. In the third stage, the multi-stage URL analysis system analyzes the URL based on metadata related to the URL. The multi-stage URL analysis system advances the stages of analysis if a malicious classification score determined by each stage does not satisfy a confidence threshold. The URL may also be selected for additional rigorous analysis using selection criteria not used in by the analysis stages.Type: GrantFiled: October 1, 2016Date of Patent: February 26, 2019Assignee: Intel CorporationInventors: Yonghong Huang, Jason Martin, Micah J. Sheller, Cory Cornelius, Shih-han Wang
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Publication number: 20190042878Abstract: Methods, apparatus, systems and articles of manufacture for distributed use of a machine learning model are disclosed. An example edge device includes a model partitioner to partition a machine learning model received from an aggregator into private layers and public layers. A public model data store is implemented outside of a trusted execution environment of the edge device. The model partitioner is to store the public layers in the public model data store. A private model data store is implemented within the trusted execution environment. The model partitioner is to store the private layers in the private model data store.Type: ApplicationFiled: March 30, 2018Publication date: February 7, 2019Inventors: Micah Sheller, Cory Cornelius
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Publication number: 20190042937Abstract: Methods, apparatus, systems and articles of manufacture for federated training of a neural network using trusted edge devices are disclosed. An example system includes an aggregator device to aggregate model updates provided by one or more edge devices. The one or more edge devices to implement respective neural networks, and provide the model updates to the aggregator device. At least one of the edge devices to implement the neural network within a trusted execution environment.Type: ApplicationFiled: February 8, 2018Publication date: February 7, 2019Inventors: Micah Sheller, Cory Cornelius, Jason Martin, Yonghong Huang, Shih-Han Wang
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Publication number: 20190042761Abstract: Embodiments discussed herein may be generally directed to systems and techniques to generate a quality score based on an observation and an action caused by an actor agent during a testing phase. Embodiments also include determining a temporal difference between the quality score and a previous quality score based on a previous observation and a previous action, determining whether the temporal difference exceeds a threshold value, and generating an attack indication in response to determining the temporal difference exceeds the threshold value.Type: ApplicationFiled: August 14, 2018Publication date: February 7, 2019Inventors: Shih-Han Wang, Yonghong Huang, Micah Sheller, Cory Cornelius
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Publication number: 20180359247Abstract: Various embodiments are generally directed to an apparatus, method, and other techniques to maintain user authentications with common trusted devices. If a user is in possession of a first computing device (e.g., a smartphone), an unlocked state of the first trusted device is maintained if the user is using a nearby trusted device (e.g., a computer) within a certain amount of time. If the first trusted device is in a pocket or other container, a longer span of time is granted to the user to register an on-body state.Type: ApplicationFiled: January 8, 2018Publication date: December 13, 2018Applicant: INTEL CORPORATIONInventors: MICAH J. SHELLER, YONGHONG HUANG, NARJALA P. BHASKER, JASON MARTIN, CORY CORNELIUS
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Publication number: 20180239976Abstract: In one embodiment, an apparatus includes: a bioimpedance sensor to generate bioimpedance information based on bioimpedance sample information from at least some of a plurality of electrodes to be adapted about a portion of a person; at least one biometric sensor to generate biometric information based on biometric sample information from at least some of the plurality of electrodes; at least one environmental sensor to generate environmental context data; and an integration circuit to receive the bioimpedance information, the biometric information and the environmental context data and to adjust the bioimpedance information based at least in part on a value of one or more of the biometric information and the environmental context data. Other embodiments are described and claimed.Type: ApplicationFiled: February 22, 2017Publication date: August 23, 2018Inventors: Cory Cornelius, Jason Martin, Ramune Nagisetty, Micah J. Sheller, Thao W. Xiong, Reese Bowes
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Patent number: 9936877Abstract: A wearable master electronic device (Amulet) has a processor with memory, the processor coupled to a body-area network (BAN) radio and uplink radio. The device has firmware for BAN communications with wearable nodes to receive data, and in an embodiment, send configuration data. The device has firmware for using the uplink radio to download apps and configurations, and upload data to a server. An embodiment has accelerometers in Amulet and wearable node, and firmware for using accelerometer readings to determine if node and Amulet are worn by the same subject. Other embodiments use pulse sensors or microphones in the Amulet and node to both identify a subject and verify the Amulet and node are worn by the same subject. Another embodiment uses a bioimpedance sensor to identify the subject. The wearable node may be an insulin pump, chemotherapy pump, TENS unit, cardiac monitor, or other device.Type: GrantFiled: February 7, 2017Date of Patent: April 10, 2018Assignee: THE TRUSTEES OF DARTMOUTH COLLEGEInventors: David Kotz, Ryan Halter, Cory Cornelius, Jacob Sorber, Minho Shin, Ronald Peterson, Shrirang Mare, Aarathi Prasad, Joseph Skinner, Andres David Molina-Markham
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Publication number: 20180097822Abstract: Technologies for analyzing a Uniform Resource Locator (URL) include a multi-stage URL analysis system. The multi-stage URL analysis system analyzes the URL using a multi-stage analysis. In the first stage, the multi-stage URL analysis system analyzes the URL using an ensemble lexical analysis. In the second stage, the multi-stage URL analysis system analyzes the URL based on third-party detection results. In the third stage, the multi-stage URL analysis system analyzes the URL based on metadata related to the URL. The multi-stage URL analysis system advances the stages of analysis if a malicious classification score determined by each stage does not satisfy a confidence threshold. The URL may also be selected for additional rigorous analysis using selection criteria not used in by the analysis stages.Type: ApplicationFiled: October 1, 2016Publication date: April 5, 2018Inventors: Yonghong Huang, Jason Martin, Micah J. Sheller, Cory Cornelius, Shih-han Wang
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Patent number: 9934372Abstract: Technologies for performing orientation-independent bioimpedance-based user authentication include a compute device. The compute device includes a plurality of electrodes usable to transmit an alternating current and measure a bioimpedance in a section of the body of a user. The compute device is to transmit, with a pair of the electrodes, an alternating current through the section of the body of the user, measure, with a pair of the electrodes, a bioimpedance of the section of the body to the transmitted alternating current, generate a tomographic image as a function of the measured bioimpedance, identify a position of a fiduciary marker in the tomographic image, rotate the tomographic image to a predefined orientation as a function of the position of the fiduciary marker, extract one or more biometric features from the rotated tomographic image, and perform authentication of the user as a function of the extracted one or more biometric features.Type: GrantFiled: April 1, 2017Date of Patent: April 3, 2018Assignee: Intel CorporationInventors: Cory Cornelius, Micah J. Sheller, Jason Martin
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Patent number: 9866555Abstract: Various embodiments are generally directed to an apparatus, method, and other techniques to maintain user authentications with common trusted devices. If a user is in possession of a first computing device (e.g., a smartphone), an unlocked state of the first trusted device is maintained if the user is using a nearby trusted device (e.g., a computer) within a certain amount of time. If the first trusted device is in a pocket or other container, a longer span of time is granted to the user to register an on-body state.Type: GrantFiled: December 23, 2015Date of Patent: January 9, 2018Assignee: INTEL CORPORATIONInventors: Micah J. Sheller, Yonghong Huang, Narjala P. Bhasker, Jason Martin, Cory Cornelius