Patents by Inventor Naoise HOLOHAN
Naoise HOLOHAN 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: 20240028947Abstract: The present disclosure relates to a method comprising at training system iteratively training a machine learning algorithm using current training data. The current training data comprises a local dataset of a current task and a replay dataset and may be updated for a next iteration as follows. A training dataset may be received. If the training dataset is not s shared dataset and its task is different from the current task: information representing the local dataset may be shared with other training systems, the local dataset may be added to the replay dataset, and the received training dataset may be used as the local dataset for a next iteration. In case the task is the current task: the received training dataset may be added to the local dataset. If the training dataset is a shared dataset, the received training dataset may be added to the replay dataset.Type: ApplicationFiled: July 20, 2022Publication date: January 25, 2024Inventors: Giulio Zizzo, Ambrish Rawat, Naoise Holohan, Seshu Tirupathi
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Patent number: 11562087Abstract: Systems, computer-implemented methods, and computer program products that can facilitate sensitive data policy recommendation are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an extraction component that can employ an artificial intelligence model to extract compliance data from a data source. The computer executable components can further comprise a recommendation component that can recommend a sensitive data policy based on the compliance data. In some embodiments, the recommendation component can further identify one or more sensitive data entities of a sensitive data dataset that are affected by actionable obligation data of the data source.Type: GrantFiled: March 14, 2019Date of Patent: January 24, 2023Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Spyridon Antonatos, Stefano Braghin, Naoise Holohan, Killian Levacher, Rahul Nair, Martin Stephenson
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Patent number: 11392487Abstract: Embodiments include a method for one or more processors to receive an organic dataset and a domain knowledge base. The one or more processors identify private data entities present within the organic dataset. The one or more processors determine statistical properties of the private data entities identified within the organic dataset. The one or more processors create a plurality of test data templates by removing the private data entities from the organic dataset. The one or more processors select from the domain knowledge base, synthetic data entities that match a data type of the removed private data entities, respectively, and align with the statistical properties of the private data entities, and the one or more processors generate synthetic test data by inserting, respectively, the synthetic data entities of the matching data type for the removed private data entities in the test data templates.Type: GrantFiled: November 16, 2020Date of Patent: July 19, 2022Assignee: International Business Machines CorporationInventors: Killian Levacher, Stefano Braghin, Naoise Holohan
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Publication number: 20220156177Abstract: Embodiments include a method for one or more processors to receive an organic dataset and a domain knowledge base. The one or more processors identify private data entities present within the organic dataset. The one or more processors determine statistical properties of the private data entities identified within the organic dataset. The one or more processors create a plurality of test data templates by removing the private data entities from the organic dataset. The one or more processors select from the domain knowledge base, synthetic data entities that match a data type of the removed private data entities, respectively, and align with the statistical properties of the private data entities, and the one or more processors generate synthetic test data by inserting, respectively, the synthetic data entities of the matching data type for the removed private data entities in the test data templates.Type: ApplicationFiled: November 16, 2020Publication date: May 19, 2022Inventors: KILLIAN LEVACHER, STEFANO BRAGHIN, Naoise Holohan
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Patent number: 11200218Abstract: Embodiments for performing consistent data masking in a distributed computing environment by a processor. A dictionary based data masking operation is performed on one or more datasets with causal ordering of the one or more datasets to enable reconstruction of a state of the one or more dictionaries for the one or more datasets.Type: GrantFiled: April 17, 2019Date of Patent: December 14, 2021Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Spyridon Antonatos, Stefano Braghin, Naoise Holohan, Pol MacAonghusa
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Patent number: 11132386Abstract: Various embodiments are provided for linking of anonymized datasets in a computing environment are provided. A number of linking records may be identified between an anonymized dataset and one or more non-anonymized datasets of a knowledge base according to one or more equivalence classes and a generalization level.Type: GrantFiled: February 15, 2019Date of Patent: September 28, 2021Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Spyridon Antonatos, Stefano Braghin, Naoise Holohan, Pol MacAonghusa
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Patent number: 10997279Abstract: Embodiments for watermarking anonymized datasets using decoys in a computing environment are provided. One or more decoy records may be embedded in an anonymized dataset such that a re-identification attack on the anonymized dataset targets the one or more decoy records.Type: GrantFiled: January 2, 2018Date of Patent: May 4, 2021Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Spyridon Antonatos, Stefano Braghin, Naoise Holohan, Pol MacAonghusa
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Publication number: 20200334219Abstract: Embodiments for performing consistent data masking in a distributed computing environment by a processor. A dictionary based data masking operation is performed on one or more datasets with causal ordering of the one or more datasets to enable reconstruction of a state of the one or more dictionaries for the one or more datasets.Type: ApplicationFiled: April 17, 2019Publication date: October 22, 2020Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Spyridon ANTONATOS, Stefano BRAGHIN, Naoise HOLOHAN, Pol MAC AONGHUSA
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Publication number: 20200293675Abstract: Systems, computer-implemented methods, and computer program products that can facilitate sensitive data policy recommendation are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an extraction component that can employ an artificial intelligence model to extract compliance data from a data source. The computer executable components can further comprise a recommendation component that can recommend a sensitive data policy based on the compliance data. In some embodiments, the recommendation component can further identify one or more sensitive data entities of a sensitive data dataset that are affected by actionable obligation data of the data source.Type: ApplicationFiled: March 14, 2019Publication date: September 17, 2020Inventors: Spyridon Antonatos, Stefano Braghin, Naoise Holohan, Killian Levacher, Rahul Nair, Martin Stephenson
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Patent number: 10769306Abstract: Embodiments for data anonymity by a processor. A dataset may be transformed into an anonymous dataset by applying a differential privacy operation and a clustering operation to the dataset.Type: GrantFiled: September 21, 2017Date of Patent: September 8, 2020Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Spyridon Antonatos, Stefano Braghin, Naoise Holohan, Pol Mac Aonghusa
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Publication number: 20200265069Abstract: Various embodiments are provided for linking of anonymized datasets in a computing environment are provided. A number of linking records may be identified between an anonymized dataset and one or more non-anonymized datasets of a knowledge base according to one or more equivalence classes and a generalization level.Type: ApplicationFiled: February 15, 2019Publication date: August 20, 2020Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Spyridon ANTONATOS, Stefano BRAGHIN, Naoise HOLOHAN, Pol MAC AONGHUSA
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Publication number: 20200245141Abstract: Embodiments for privacy protection of entities in a transportation system by a processor. Route instructions may be provided to an approximate destination located within a defined proximity of an entity for a transportation service for protecting a current location of an entity. The approximate destination may be dynamically adjusted to converge with the current location of the entity as the transportation service approaches the entity.Type: ApplicationFiled: January 30, 2019Publication date: July 30, 2020Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Spyridon ANTONATOS, Adi BOTEA, Stefano BRAGHIN, Naoise HOLOHAN, Akihiro KISHIMOTO
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Publication number: 20200082290Abstract: Techniques that facilitate adaptive anonymization of data using statistical inference are provided. In one example, a system includes an anonymization component and a statistical learning component. The anonymization component applies an anonymization strategy to data associated with an electronic device. The statistical learning component modifies the anonymization strategy to generate an updated anonymization strategy for the data based on a machine learning process associated with a probabilistic model that represents the data.Type: ApplicationFiled: September 11, 2018Publication date: March 12, 2020Inventors: Alessandra Pascale, Naoise Holohan, Pierpaolo Tommasi, Stephane Deparis
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Publication number: 20190236305Abstract: Techniques facilitating automatically detecting unauthorized use of sensitive information in content communicated over a network are provided. A computer-implemented method can comprise receiving, by a system operatively coupled to a processor, from a first entity, data associated with the first entity and one or more rules defining use of the data by a second entity. The data and the one or more rules can be defined by the first entity. The computer-implemented method can also comprise analyzing, by the system, content communicated over a network by the second entity to determine whether the content violates the one or more rules. The computer-implemented method can further comprise generating, by the system, information indicative of one or more violations of the one or more rules based on a determination that the content violates the one or more rules.Type: ApplicationFiled: January 29, 2018Publication date: August 1, 2019Inventors: Spyridon Antonatos, Stefano Braghin, Naoise Holohan, Pol Mac Aonghusa
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Publication number: 20190205507Abstract: Embodiments for watermarking anonymized datasets using decoys in a computing environment are provided. One or more decoy records may be embedded in an anonymized dataset such that a re-identification attack on the anonymized dataset targets the one or more decoy records.Type: ApplicationFiled: January 2, 2018Publication date: July 4, 2019Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Spyridon ANTONATOS, Stefano BRAGHIN, Naoise HOLOHAN, Pol MAC AONGHUSA
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Publication number: 20190087604Abstract: Embodiments for data anonymity by a processor. A dataset may be transformed into an anonymous dataset by applying a differential privacy operation and a clustering operation to the dataset.Type: ApplicationFiled: September 21, 2017Publication date: March 21, 2019Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Spyridon ANTONATOS, Stefano BRAGHIN, Naoise HOLOHAN, Pol MAC AONGHUSA