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公开(公告)号：US09712550B1
公开(公告)日：2017-07-18
申请号：US15275358
申请日：2016-09-24
Applicant: Apple Inc.
Inventor： Abhradeep Guha Thakurta , Andrew H. Vyrros , Umesh S. Vaishampayan , Gaurav Kapoor , Julien Freudinger , Vipul Ved Prakash , Arnaud Legendre , Steven Duplinsky
CPC classification number: H04L63/1425 , G06F17/2235 , G06F17/2735 , G06F17/276 , G06F21/6254 , G06N99/005 , H04L63/0421
Abstract: Systems and methods are disclosed for generating term frequencies of known terms based on crowdsourced differentially private sketches of the known terms. An asset catalog can be updated with new frequency counts for known terms based on the crowdsourced differentially private sketches. Known terms can have a classification. A client device can maintain a privacy budget for each classification of known terms. Classifications can include emojis, deep links, locations, finance terms, and health terms, etc. A privacy budget ensures that a client does not transmit too much information to a term frequency server, thereby compromising the privacy of the client device.
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公开(公告)号：US09594741B1
公开(公告)日：2017-03-14
申请号：US15275356
申请日：2016-09-24
Applicant: Apple Inc.
Inventor： Abhradeep Guha Thakurta , Andrew H. Vyrros , Umesh S. Vaishampayan , Gaurav Kapoor , Julien Freudiger , Vivek Rangarajan Sridhar , Doug Davidson
CPC classification number: G06F17/2765 , G06F17/16 , G06F17/2705 , G06F17/2735 , G06F17/277 , G06F17/30737 , G06N99/005
Abstract: Systems and methods are disclosed for a server learning new words generated by user client devices in a crowdsourced manner while maintaining local differential privacy of client devices. A client device can determine that a word typed on the client device is a new word that is not contained in a dictionary or asset catalog on the client device. New words can be grouped in classifications such as entertainment, health, finance, etc. A differential privacy system on the client device can comprise a privacy budget for each classification of new words. If there is privacy budget available for the classification, then one or more new terms in a classification can be sent to new term learning server, and the privacy budget for the classification reduced. The privacy budget can be periodically replenished.
Abstract translation: 公开了系统和方法，用于服务器以众包方式学习由用户客户端设备生成的新词，同时保持客户端设备的本地差异隐私。 客户端设备可以确定在客户端设备上键入的单词是不包含在客户端设备上的字典或资产目录中的新单词。 新词可以分类为娱乐，健康，财务等分类。客户端设备上的差异隐私系统可以包括每个新词分类的隐私预算。 如果有可用于分类的隐私预算，则可以将分类中的一个或多个新术语发送到新术语学习服务器，并且减少分类的隐私预算。 隐私预算可以定期补充。
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公开(公告)号：US11042664B2
公开(公告)日：2021-06-22
申请号：US16746683
申请日：2020-01-17
Applicant: Apple Inc.
Inventor： Yannick L. Sierra , Abhradeep Guha Thakurta , Umesh S. Vaishampayan , John C. Hurley , Keaton F. Mowery , Michael Brouwer
Abstract: One embodiment provides a system that implements a 1-bit protocol for differential privacy for a set of client devices that transmit information to a server. Implementations may leverage specialized instruction sets or engines built into the hardware or firmware of a client device to improve the efficiency of the protocol. For example, a client device may utilize these cryptographic functions to randomize information sent to the server. In one embodiment, the client device may use cryptographic functions such as hashes including SHA or block ciphers including AES to provide an efficient mechanism for implementing differential privacy.
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公开(公告)号：US20200257816A1
公开(公告)日：2020-08-13
申请号：US16746683
申请日：2020-01-17
Applicant: Apple Inc.
Inventor： Yannick L. Sierra , Abhradeep Guha Thakurta , Umesh S. Vaishampayan , John C. Hurley , Keaton F. Mowery , Michael Brouwer
Abstract: One embodiment provides a system that implements a 1-bit protocol for differential privacy for a set of client devices that transmit information to a server. Implementations may leverage specialized instruction sets or engines built into the hardware or firmware of a client device to improve the efficiency of the protocol. For example, a client device may utilize these cryptographic functions to randomize information sent to the server. In one embodiment, the client device may use cryptographic functions such as hashes including SHA or block ciphers including AES to provide an efficient mechanism for implementing differential privacy.
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公开(公告)号：US09705908B1
公开(公告)日：2017-07-11
申请号：US15275360
申请日：2016-09-24
Applicant: Apple Inc.
Inventor： Abhradeep Guha Thakurta , Andrew H. Vyrros , Umesh S. Vaishampayan , Gaurav Kapoor , Julien Freudinger , Vipul Ved Prakash , Arnaud Legendre , Steven Duplinsky
CPC classification number: H04L63/1425 , G06F17/2235 , G06F17/2735 , G06F17/276 , G06F21/6254 , G06N99/005 , H04L63/0421
Abstract: Systems and methods are disclosed for generating term frequencies of known terms based on crowdsourced differentially private sketches of the known terms. An asset catalog can be updated with new frequency counts for known terms based on the crowdsourced differentially private sketches. Known terms can have a classification. A client device can maintain a privacy budget for each classification of known terms. Classifications can include emojis, deep links, locations, finance terms, and health terms, etc. A privacy budget ensures that a client does not transmit too much information to a term frequency server, thereby compromising the privacy of the client device.
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Patent Agency Ranking
公开(公告)号：US09645998B1
公开(公告)日：2017-05-09
申请号：US15275357
申请日：2016-09-24
Applicant: Apple Inc.
Inventor： Abhradeep Guha Thakurta , Andrew H. Vyrros , Umesh S. Vaishampayan , Gaurav Kapoor , Julien Freudiger , Vivek Rangarajan Sridhar , Doug Davidson
CPC classification number: G06F17/2765 , G06F17/16 , G06F17/2705 , G06F17/2735 , G06F17/277 , G06F17/30737 , G06N99/005
Abstract: Systems and methods are disclosed for a server learning new words generated by user client devices in a crowdsourced manner while maintaining local differential privacy of client devices. A client device can determine that a word typed on the client device is a new word that is not contained in a dictionary or asset catalog on the client device. New words can be grouped in classifications such as entertainment, health, finance, etc. A differential privacy system on the client device can comprise a privacy budget for each classification of new words. If there is privacy budget available for the classification, then one or more new terms in a classification can be sent to new term learning server, and the privacy budget for the classification reduced. The privacy budget can be periodically replenished.
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公开(公告)号：US20190205561A1
公开(公告)日：2019-07-04
申请号：US16297464
申请日：2019-03-08
Applicant: Apple Inc.
Inventor： Yannick L. Sierra , Abhradeep Guha Thakurta , Umesh S. Vaishampayan , John C. Hurley , Keaton F. Mowery , Michael Brouwer
CPC classification number: G06F21/6218 , G06F21/6245 , H04L9/0631 , H04L9/0861 , H04L63/0421 , H04L63/0435
Abstract: One embodiment provides a system that implements a 1-bit protocol for differential privacy for a set of client devices that transmit information to a server. Implementations may leverage specialized instruction sets or engines built into the hardware or firmware of a client device to improve the efficiency of the protocol. For example, a client device may utilize these cryptographic functions to randomize information sent to the server. In one embodiment, the client device may use cryptographic functions such as hashes including SHA or block ciphers including AES to provide an efficient mechanism for implementing differential privacy.
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公开(公告)号：US20190068628A1
公开(公告)日：2019-02-28
申请号：US16159481
申请日：2018-10-12
Applicant: Apple Inc.
Inventor： Abhradeep Guha Thakurta , Andrew H. Vyrros , Umesh S. Vaishampayan , Gaurav Kapoor , Julien Freudiger , Vipul Ved Prakash , Arnaud Legendre , Steven Duplinsky
CPC classification number: H04L63/1425 , G06F17/2235 , G06F17/2735 , G06F17/276 , G06F21/6254 , G06N20/00 , H04L63/0421
Abstract: Systems and methods are disclosed for generating term frequencies of known terms based on crowdsourced differentially private sketches of the known terms. An asset catalog can be updated with new frequency counts for known terms based on the crowdsourced differentially private sketches. Known terms can have a classification. A client device can maintain a privacy budget for each classification of known terms. Classifications can include emojis, deep links, locations, finance terms, and health terms, etc. A privacy budget ensures that a client does not transmit too much information to a term frequency server, thereby compromising the privacy of the client device.
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公开(公告)号：US09894089B2
公开(公告)日：2018-02-13
申请号：US15627269
申请日：2017-06-19
Applicant: Apple Inc.
Inventor： Abhradeep Guha Thakurta , Andrew H. Vyrros , Umesh S. Vaishampayan , Gaurav Kapoor , Julien Freudinger , Vipul Ved Prakash , Arnaud Legendre , Steven Duplinsky
CPC classification number: H04L63/1425 , G06F17/2235 , G06F17/2735 , G06F17/276 , G06F21/6254 , G06N99/005 , H04L63/0421
Abstract: Systems and methods are disclosed for generating term frequencies of known terms based on crowdsourced differentially private sketches of the known terms. An asset catalog can be updated with new frequency counts for known terms based on the crowdsourced differentially private sketches. Known terms can have a classification. A client device can maintain a privacy budget for each classification of known terms. Classifications can include emojis, deep links, locations, finance terms, and health terms, etc. A privacy budget ensures that a client does not transmit too much information to a term frequency server, thereby compromising the privacy of the client device.
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公开(公告)号：US20170359363A1
公开(公告)日：2017-12-14
申请号：US15627269
申请日：2017-06-19
Applicant: Apple Inc.
Inventor： Abhradeep Guha Thakurta , Andrew H. Vyrros , Umesh S. Vaishampayan , Gaurav Kapoor , Julien Freudinger , Vipul Ved Prakash , Arnaud Legendre , Steven Duplinsky
CPC classification number: H04L63/1425 , G06F17/2235 , G06F17/2735 , G06F17/276 , G06F21/6254 , G06N99/005 , H04L63/0421
Abstract: Systems and methods are disclosed for generating term frequencies of known terms based on crowdsourced differentially private sketches of the known terms. An asset catalog can be updated with new frequency counts for known terms based on the crowdsourced differentially private sketches. Known terms can have a classification. A client device can maintain a privacy budget for each classification of known terms. Classifications can include emojis, deep links, locations, finance terms, and health terms, etc. A privacy budget ensures that a client does not transmit too much information to a term frequency server, thereby compromising the privacy of the client device.
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