Patents by Inventor DAVID F. LERNER
DAVID F. LERNER 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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Patent number: 11899819Abstract: Embodiments seek to protect privacy of potentially sensitive client resources in web transactions using crowd-disambiguation. Crowd-disambiguation machines can aggregate information about resources from multiple clients as resource fingerprints, and can use the fingerprints to provide crowd-sourced services in a privacy-protected manner. For example, embodiments can communicate a resource fingerprint as a fully ambiguated resource instance (FARI) and a partially disambiguated resource instance (PDRI). When one (or few) clients communicates the resource fingerprint, the identity of the resource remains obfuscated from the crowd-disambiguation machine. As more clients communicate fingerprints for the same resource (e.g., identified by the matching FARIs), respective, differently generated PDRIs of those fingerprints enable the crowd-disambiguation machine to resolve further portions of the resource, ultimately permitting the resource to be revealed and considered non-private (e.g.Type: GrantFiled: September 28, 2021Date of Patent: February 13, 2024Assignee: Viasat, Inc.Inventors: David F Lerner, Peter J Lepeska, Douglas C Larrick, Devin R Toth
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Publication number: 20220391533Abstract: Embodiments seek to protect privacy of potentially sensitive client resources in web transactions using crowd-disambiguation. Crowd-disambiguation machines can aggregate information about resources from multiple clients as resource fingerprints, and can use the fingerprints to provide crowd-sourced services in a privacy-protected manner. For example, embodiments can communicate a resource fingerprint as a fully ambiguated resource instance (FARI) and a partially disambiguated resource instance (PDRI). When one (or few) clients communicates the resource fingerprint, the identity of the resource remains obfuscated from the crowd-disambiguation machine. As more clients communicate fingerprints for the same resource (e.g., identified by the matching FARIs), respective, differently generated PDRIs of those fingerprints enable the crowd-disambiguation machine to resolve further portions of the resource, ultimately permitting the resource to be revealed and considered non-private (e.g.Type: ApplicationFiled: September 28, 2021Publication date: December 8, 2022Applicant: VIASAT, INC.Inventors: David F LERNER, Peter J LEPESKA, Douglas C LARRICK, Devin R TOTH
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Patent number: 11144667Abstract: Embodiments seek to protect privacy of potentially sensitive client resources in web transactions using crowd-disambiguation. Crowd-disambiguation machines can aggregate information about resources from multiple clients as resource fingerprints, and can use the fingerprints to provide crowd-sourced services in a privacy-protected manner. For example, embodiments can communicate a resource fingerprint as a fully ambiguated resource instance (FARI) and a partially disambiguated resource instance (PDRI). When one (or few) clients communicates the resource fingerprint, the identity of the resource remains obfuscated from the crowd-disambiguation machine. As more clients communicate fingerprints for the same resource (e.g., identified by the matching FARIs), respective, differently generated PDRIs of those fingerprints enable the crowd-disambiguation machine to resolve further portions of the resource, ultimately permitting the resource to be revealed and considered non-private (e.g.Type: GrantFiled: July 24, 2019Date of Patent: October 12, 2021Assignee: VIASAT, INC.Inventors: David F Lerner, Peter J Lepeska, Douglas C Larrick, Devin R Toth
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Publication number: 20200125759Abstract: Embodiments seek to protect privacy of potentially sensitive client resources in web transactions using crowd-disambiguation. Crowd-disambiguation machines can aggregate information about resources from multiple clients as resource fingerprints, and can use the fingerprints to provide crowd-sourced services in a privacy-protected manner For example, embodiments can communicate a resource fingerprint as a fully ambiguated resource instance (FARI) and a partially disambiguated resource instance (PDRI). When one (or few) clients communicates the resource fingerprint, the identity of the resource remains obfuscated from the crowd-disambiguation machine. As more clients communicate fingerprints for the same resource (e.g., identified by the matching FARIs), respective, differently generated PDRIs of those fingerprints enable the crowd-disambiguation machine to resolve further portions of the resource, ultimately permitting the resource to be revealed and considered non-private (e.g.Type: ApplicationFiled: July 24, 2019Publication date: April 23, 2020Applicant: VIASAT, INC.Inventors: David F. Lerner, Peter J. Lepeska, Douglas C. Larrick, Devin R. Toth
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Patent number: 10387676Abstract: Embodiments use crowd disambiguation techniques to protect the privacy of potentially sensitive client resources in web transactions. Crowd disambiguation servers can aggregate information about resources, such as URLs, accessed by clients, in the form of resource fingerprints submitted by the clients. Said resource fingerprints can be used to provide crowd-sourced services in a privacy-protected manner. For example, in some embodiments a fingerprint of a URL visited by a client can be communicated to the server as both a fully ambiguated resource instance (FARI) and a partially disambiguated resource instance (PDRI). When only one client, or a limited number of clients, has communicated a certain resource fmgerprint, the underlying identity of the resource, in this case the URL, remains obfuscated from the crowd disambiguation server, which lacks sufficient information to reconstruct it.Type: GrantFiled: September 14, 2015Date of Patent: August 20, 2019Assignee: VIASAT, INC.Inventors: David F Lerner, Peter J Lepeska, Douglas C Larrick, Devin R Toth
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Patent number: 10387522Abstract: Embodiments seek to improve prefetch hinting by using automated browsing clusters to generate and update hinting models used for machine-generated hints. For example, hinting machines can include browsing clusters that autonomously fetch web pages in response to update triggers (e.g., client web page requests, scheduled web crawling, etc.) and generate timing and/or other hinting-related feedback relating to which resources were used to load the fetched web pages. The hinting machines can use the hinting feedback to generate and/or update hinting models, which can be used for machine-generation of hints. Some embodiments can provide preliminary hinting functionality in response to client hinting requests, for example, when hinting models for a requested page are insufficient (e.g., unavailable, outdated, etc.). For example, without having a sufficient hinting model in place, the hinting machine can fetch the page to generate preliminary hinting feedback, which it can use to machine-generate preliminary hints.Type: GrantFiled: April 19, 2018Date of Patent: August 20, 2019Assignee: VIASAT, INC.Inventors: Peter J Lepeska, David F Lerner, Eric E Prouty
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Publication number: 20180247076Abstract: Embodiments use crowd disambiguation techniques to protect the privacy of potentially sensitive client resources in web transactions. Crowd disambiguation servers can aggregate information about resources, such as URLs, accessed by clients, in the form of resource fingerprints submitted by the clients. Said resource fmgerprints can be used to provide crowd-sourced services in a privacy-protected manner. For example, in some embodiments a fingerprint of a URL visited by a client can be communicated to the server as both a fully ambiguated resource instance (FARI) and a partially disambiguated resource instance (PDRI). When only one client, or a limited number of clients, has communicated a certain resource fmgerprint, the underlying identity of the resource, in this case the URL, remains obfuscated from the crowd disambiguation server, which lacks sufficient information to reconstruct it.Type: ApplicationFiled: September 14, 2015Publication date: August 30, 2018Applicant: VIASAT, INC.Inventors: DAVID F LERNER, PETER J LEPESKA, DOUGLAS C LARRICK, DEVIN R TOTH
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Publication number: 20180246982Abstract: Embodiments seek to improve prefetch hinting by using automated browsing clusters to generate and update hinting models used for machine-generated hints. For example, hinting machines can include browsing clusters that autonomously fetch web pages in response to update triggers (e.g., client web page requests, scheduled web crawling, etc.) and generate timing and/or other hinting-related feedback relating to which resources were used to load the fetched web pages. The hinting machines can use the hinting feedback to generate and/or update hinting models, which can be used for machine-generation of hints. Some embodiments can provide preliminary hinting functionality in response to client hinting requests, for example, when hinting models for a requested page are insufficient (e.g., unavailable, outdated, etc.). For example, without having a sufficient hinting model in place, the hinting machine can fetch the page to generate preliminary hinting feedback, which it can use to machine-generate preliminary hints.Type: ApplicationFiled: April 19, 2018Publication date: August 30, 2018Applicant: VIASAT, INC.Inventors: PETER J. LEPESKA, DAVID F. LERNER, ERIC E. PROUTY