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公开(公告)号:US20210342546A1
公开(公告)日:2021-11-04
申请号:US17245774
申请日:2021-04-30
申请人: Ghazaleh Beigi , Kai Shu , Ruocheng Guo , Suhang Wang , Huan Liu
发明人: Ghazaleh Beigi , Kai Shu , Ruocheng Guo , Suhang Wang , Huan Liu
IPC分类号: G06F40/30 , G06F21/62 , G06F40/211 , G06N3/08 , G06K9/62
摘要: Various embodiments of a computer-implemented system which learns textual representations while filtering out potentially personally identifying data and retaining semantic meaning within the textual representations are disclosed herein.
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公开(公告)号:US11436371B2
公开(公告)日:2022-09-06
申请号:US16782349
申请日:2020-02-05
申请人: Ghazaleh Beigi , Ruocheng Guo , Huan Liu , Yanchao Zhang , Alexander Nou
发明人: Ghazaleh Beigi , Ruocheng Guo , Huan Liu , Yanchao Zhang , Alexander Nou
IPC分类号: G06F21/52 , G06F21/62 , G06F16/955 , G06F16/9536
摘要: Systems and methods of privacy protection of a user may include compiling an actual number of links in a web history corresponding to each topic in a plurality of internet topics; compiling a topic probability distribution based on the web history; determining an additional number of links to be added to each topic in the plurality of internet topics; and modifying the topic probability distribution by selecting a set of links corresponding to the additional number of links for each topic in the plurality of internet topics.
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公开(公告)号:US20210279369A1
公开(公告)日:2021-09-09
申请号:US16782349
申请日:2020-02-05
申请人: Ghazaleh Beigi , Ruocheng Guo , Huan Liu , Yanchao Zhang , Alexander Nou
发明人: Ghazaleh Beigi , Ruocheng Guo , Huan Liu , Yanchao Zhang , Alexander Nou
IPC分类号: G06F21/62 , G06F16/9536 , G06F16/955
摘要: Systems and methods of privacy protection of a user may include compiling an actual number of links in a web history corresponding to each topic in a plurality of internet topics; compiling a topic probability distribution based on the web history; determining an additional number of links to be added to each topic in the plurality of internet topics; and modifying the topic probability distribution by selecting a set of links corresponding to the additional number of links for each topic in the plurality of internet topics.
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公开(公告)号:US20220374606A1
公开(公告)日:2022-11-24
申请号:US17527632
申请日:2021-11-16
摘要: Various embodiments of a system and associated method for anonymization of text without losing semantic utility of text by extracting a latent embedding representation of content with respect to a given task and by learning an optimal strategy for text embedding manipulation to satisfy both privacy and utility requirements are disclosed herein. In particular, the system balances private attribute obfuscation with retained semantic utility.
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