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公开(公告)号:US11048819B2
公开(公告)日:2021-06-29
申请号:US16741193
申请日:2020-01-13
Applicant: Snap Inc.
Inventor: Vasyl Pihur
Abstract: Systems and methods are provided for generating noise in user data to generate privatized data. The systems and methods generate the privatized data by performing operations comprising: storing a set of input data; generating a noise distribution based on a two-step function, wherein a height of the two-step function is determined by a privacy parameter, a width of the two-step function is determined by minimizing a variance of the noise distribution, and wherein a mean of the two-step function is determined by a value of the set of input data to be privatized; applying the noise distribution to the set of input data to generate privatized noisy output data; and transmitting the resulting privatized noisy output data in response to a request for a portion of, or a complete set of, the input data.
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公开(公告)号:US20200279054A1
公开(公告)日:2020-09-03
申请号:US16741193
申请日:2020-01-13
Applicant: Snap Inc.
Inventor: Vasyl Pihur
Abstract: Systems and methods are provided for performing operations comprising: storing a set of input data; generating a noise distribution based on a two-step function, wherein a height of the two-step function is determined by a privacy parameter, a width of the two-step function is determined by minimizing a variance of the noise distribution, and wherein a mean of the two-step function is determined by a value of the set of input data to be privatized; applying the noise distribution to the set of input data to generate privatized noisy output data; and transmitting the resulting privatized noisy output data in response to a request for a portion of, or a complete set of, the input data.
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公开(公告)号:US11797709B2
公开(公告)日:2023-10-24
申请号:US17583866
申请日:2022-01-25
Applicant: Snap Inc.
Inventor: Vasyl Pihur , Subhash Sankuratripati , Dachuan Huang , Leah Fortier
IPC: G06F21/62
CPC classification number: G06F21/6245
Abstract: Methods and systems for identifying personally identifiable information (PII) are disclosed. In some aspects, frequency maps of fields storing known PII information are generated. The frequency maps may count occurrences of unique bigrams in the PII fields. A field of interest may then be analyzed to generate a second frequency map. Correlations between the first frequency maps and the second frequency map may be generated. If one of the correlations meets certain criterion, the disclosed embodiments may determine that the field of interest does or does not include PII. Access control for the field of interest may then be based on whether the field includes PII. In some aspects, a storage location of data included in the field of interest may be based on whether the field includes PII.
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公开(公告)号:US20230206669A1
公开(公告)日:2023-06-29
申请号:US17563848
申请日:2021-12-28
Applicant: Snap Inc.
Inventor: Vasyl Pihur , Scott Thompson
IPC: G06V30/196 , G06V30/19
CPC classification number: G06V30/1983 , G06V30/19113 , G06V30/19167
Abstract: A personalized preview system to receive a request to access a collection of media items from a user of a user device. Responsive to receiving the request to access the collection of media items, the personalized preview system accesses user profile data associated with the user, wherein the user profile data includes an image. For example, the image may comprise a depiction of a face, wherein the face comprises a set of facial landmarks. Based on the image, the personalized preview system generates one or more media previews based on corresponding media templates and the image, and displays the one or more media previews within a presentation of the collection of media items at a client device of the user.
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公开(公告)号:US20230195879A1
公开(公告)日:2023-06-22
申请号:US18109668
申请日:2023-02-14
Applicant: Snap Inc.
Inventor: Vasyl Pihur , Jianping He , Luke Ramsey , Benedict Copping
CPC classification number: G06F21/45 , G06F21/33 , H04L51/52 , G06F2221/2115 , G06F2221/2131
Abstract: Systems and methods are provided for performing operations including: receiving, via a messaging application of a user device, a request to recover access to an account of a user of the messaging application; accessing a first object corresponding to a first key; receiving, from a first friend of the user on the messaging application, a second object corresponding to a first portion of a second key; receiving, from a second friend of the user on the messaging application, a third object corresponding to a second portion of the second key; deriving the second key based on the second and third objects; and recovering access to the account of the user based on the first key and the second key.
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公开(公告)号:US20220245524A1
公开(公告)日:2022-08-04
申请号:US17726338
申请日:2022-04-21
Applicant: Snap Inc.
Inventor: Vasyl Pihur , Subhash Sankuratripati , Dachuan Huang , Antonio Marcedone , Frederick Liu , Ruogu Zeng
Abstract: Methods, computer readable media, devices, and systems provide for distributed machine learning. In one aspect, a method of training a model is disclosed. The method includes receiving, by a client device, from one or more servers, an intermediate model, training, by the client device, the intermediate model based on private data, and transmitting, by the client device, to the one or more servers, the trained intermediate model.
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公开(公告)号:US11263341B1
公开(公告)日:2022-03-01
申请号:US16158034
申请日:2018-10-11
Applicant: Snap Inc.
Inventor: Vasyl Pihur , Subhash Sankuratripati , Dachuan Huang , Leah Fortier
Abstract: Methods and systems for identifying personally identifiable information (PII) are disclosed. In some aspects, frequency maps of fields storing known PII information are generated. The frequency maps may count occurrences of unique bigrams in the PII fields. A field of interest may then be analyzed to generate a second frequency map. Correlations between the first frequency maps and the second frequency map may be generated. If one of the correlations meets certain criterion, the disclosed embodiments may determine that the field of interest does or does not include PII. Access control for the field of interest may then be based on whether the field includes PII. In some aspects, a storage location of data included in the field of interest may be based on whether the field includes PII.
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