公开(公告)号：WO2017218292A1

公开(公告)日：2017-12-21

申请号：PCT/US2017/036576

申请日：2017-06-08

Applicant: APPLE INC.

Inventor： THAKURTA, Abhradeep Guha ,  VYRROS, Andrew H. ,  VAISHAMPAYAN, Umesh S. ,  KAPOOR, Gaurav ,  FREUDIGER, Julien ,  SRIDHAR, Vivek Rangarajan ,  DAVIDSON, Doug

IPC: G06F17/30

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分隐私。 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。 新词汇可以按照娱乐，健康，金融等分类进行分组。客户端设备上的差分隐私系统可以包含每个新词分类的隐私预算。 如果存在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，并且降低分类的隐私预算。 隐私预算可以定期补充。

公开(公告)号：EP3427164A1

公开(公告)日：2019-01-16

申请号：EP17731702.1

申请日：2017-06-08

Applicant: Apple Inc.

Inventor： THAKURTA, Abhradeep Guha ,  VYRROS, Andrew H. ,  VAISHAMPAYAN, Umesh S. ,  KAPOOR, Gaurav ,  FREUDIGER, Julien ,  SRIDHAR, Vivek Rangarajan ,  DAVIDSON, Doug

IPC: G06F17/30