公开(公告)号：US20230418976A1

公开(公告)日：2023-12-28

申请号：US18244797

申请日：2023-09-11

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.

公开(公告)号：US20220147653A1

公开(公告)日：2022-05-12

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

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.

公开(公告)号：US11809972B2

公开(公告)日：2023-11-07

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

IPC: G06N20/00 ,  G06N5/04 ,  H04L51/18 ,  H04L51/52

CPC classification number: G06N20/00 ,  G06N5/04 ,  H04L51/18 ,  H04L51/52

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.

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.

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

IPC: G06N20/00 ,  G06N5/04

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.

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

IPC: G06F7/04 ,  H04N7/16 ,  G06F21/62

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.

公开(公告)号：US12164668B2

公开(公告)日：2024-12-10

申请号：US18244797

申请日：2023-09-11

Applicant: Snap Inc.

Inventor： Vasyl Pihur ,  Subhash Sankuratripati ,  Dachuan Huang ,  Leah Fortier

IPC: G06F21/62

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.

公开(公告)号：US11341429B1

公开(公告)日：2022-05-24

申请号：US16158010

申请日：2018-10-11

Applicant: Snap Inc.

Inventor： Vasyl Pihur ,  Subhash Sankuratripati ,  Dachuan Huang ,  Antonio Marcedone ,  Frederick Liu ,  Ruogu Zeng

IPC: G06N99/00 ,  G06N5/04 ,  G06F21/57 ,  G06N20/00 ,  H04L51/52 ,  H04L51/18

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.