公开(公告)号：US10552471B1

公开(公告)日：2020-02-04

申请号：US15494397

申请日：2017-04-21

Applicant: Stripe, Inc.

Inventor： Pranav Dandekar ,  Ashish Goel ,  Peter Lofgren

IPC: G06F17/30 ,  G06F16/56 ,  G06K9/00 ,  G06F16/583 ,  G06F16/2457

Abstract: Embodiments of the present disclosure include systems and methods for identifying people in an image that contains more than one face images. In embodiments, a query feature vector that represents features is extracted from each face image. In embodiments, each query feature vector is compared to image feature vectors in a database and a set of candidate vectors is selected among the image feature vectors. Then, a set of user accounts that is associated with the set of candidate vectors is selected. The strengths of connection in a network between user accounts in a set of candidate user accounts corresponding to a face image and user accounts in a different set of candidate user accounts corresponding to a different face image may be determined. In embodiments, user accounts that has the highest strength of connection are selected and used to identify the persons corresponding to the face images.

公开(公告)号：US20200036721A1

公开(公告)日：2020-01-30

申请号：US16593702

申请日：2019-10-04

Applicant: Stripe, Inc.

Inventor： Pranav Dandekar ,  Peter Lofgren ,  Ashish Goel

IPC: H04L29/06 ,  G06F21/50

Abstract: Described herein are systems and methods for predicting a metric value for an entity associated with a query node in a graph that represents a network. In embodiments, using a user's profile as the query node, a metric about that user may be estimated based, at least in part, as a function of how well connected the query node is to a whitelist of “good” users/nodes in the network, a blacklist of “bad” users/nodes in the network, or both. In embodiments, one or more nodes or edges may be weighted when determining a final score for the query node. In embodiments, the final score regarding the metric may be used to take one or more actions relative to the query node, including accepting it into a network, allowing or rejecting a transaction, assigning a classification to the node, using the final score to compute another estimate for a node, etc.

公开(公告)号：US20230046185A1

公开(公告)日：2023-02-16

申请号：US17975316

申请日：2022-10-27

Applicant: Stripe, Inc.

Inventor： Pranav Dandekar ,  Peter Lofgren ,  Ashish Goel

IPC: H04L9/40 ,  G06F21/50

Abstract: Described herein are systems and methods for predicting a metric value for an entity associated with a query node in a graph that represents a network. In embodiments, using a user's profile as the query node, a metric about that user may be estimated based, at least in part, as a function of how well connected the query node is to a whitelist of “good” users/nodes in the network, a blacklist of “bad” users/nodes in the network, or both. In embodiments, one or more nodes or edges may be weighted when determining a final score for the query node. In embodiments, the final score regarding the metric may be used to take one or more actions relative to the query node, including accepting it into a network, allowing or rejecting a transaction, assigning a classification to the node, using the final score to compute another estimate for a node, etc.

公开(公告)号：US11503033B2

公开(公告)日：2022-11-15

申请号：US16593702

申请日：2019-10-04

Applicant: Stripe, Inc.

Inventor： Pranav Dandekar ,  Peter Lofgren ,  Ashish Goel

IPC: G06F21/50 ,  G06F15/16 ,  H04L9/40

Abstract: Described herein are systems and methods for predicting a metric value for an entity associated with a query node in a graph that represents a network. In embodiments, using a user's profile as the query node, a metric about that user may be estimated based, at least in part, as a function of how well connected the query node is to a whitelist of “good” users/nodes in the network, a blacklist of “bad” users/nodes in the network, or both. In embodiments, one or more nodes or edges may be weighted when determining a final score for the query node. In embodiments, the final score regarding the metric may be used to take one or more actions relative to the query node, including accepting it into a network, allowing or rejecting a transaction, assigning a classification to the node, using the final score to compute another estimate for a node, etc.

公开(公告)号：US11997098B2

公开(公告)日：2024-05-28

申请号：US17975316

申请日：2022-10-27

Applicant: Stripe, Inc.

Inventor： Pranav Dandekar ,  Peter Lofgren ,  Ashish Goel

IPC: G06F21/50 ,  G06F15/16 ,  H04L9/40

CPC classification number: H04L63/102 ,  G06F21/50 ,  G06F15/16 ,  H04L63/0263

Abstract: Described herein are systems and methods for predicting a metric value for an entity associated with a query node in a graph that represents a network. In embodiments, using a user's profile as the query node, a metric about that user may be estimated based, at least in part, as a function of how well connected the query node is to a whitelist of “good” users/nodes in the network, a blacklist of “bad” users/nodes in the network, or both. In embodiments, one or more nodes or edges may be weighted when determining a final score for the query node. In embodiments, the final score regarding the metric may be used to take one or more actions relative to the query node, including accepting it into a network, allowing or rejecting a transaction, assigning a classification to the node, using the final score to compute another estimate for a node, etc.

公开(公告)号：US11727053B2

公开(公告)日：2023-08-15

申请号：US17231580

申请日：2021-04-15

Applicant: Stripe, Inc.

Inventor： Pranav Dandekar ,  Ashish Goel ,  Peter Lofgren ,  Matthew Fisher

IPC: G06V40/16 ,  G06F16/583 ,  G06F16/51 ,  G06F16/58 ,  G06V40/13 ,  G06V10/77 ,  G06V10/762 ,  G06F18/214 ,  G06V10/764 ,  G06V20/30

CPC classification number: G06F16/583 ,  G06F16/51 ,  G06F16/58 ,  G06F16/5838 ,  G06F18/214 ,  G06V10/764 ,  G06V10/7625 ,  G06V10/77 ,  G06V10/7715 ,  G06V20/30 ,  G06V40/1306 ,  G06V40/165 ,  G06V40/172

Abstract: Aspects of the current disclosure include systems and methods for identifying an entity in a query image by comparing the query image with digital images in a database. In one or more embodiments, a query feature may be extracted from the query image and a set of candidate features may be extracted from a set of images in the database. In one or more embodiments, the distances between the query feature and the candidate features are calculated. A feature, which includes a set of shortest distances among the calculated distances and a distribution of the set of shortest distances, may be generated. In one or more embodiments, the feature is input to a trained model to determine whether the entity in the query image is the same entity associated with one of the set of shortest distances.

公开(公告)号：US20210374386A1

公开(公告)日：2021-12-02

申请号：US17231580

申请日：2021-04-15

Applicant: Stripe, Inc.

Inventor： Pranav Dandekar ,  Ashish Goel ,  Peter Lofgren ,  Matthew Fisher

IPC: G06K9/00 ,  G06K9/52 ,  G06K9/62 ,  G06F16/51 ,  G06F16/58 ,  G06F16/583

Abstract: Aspects of the current disclosure include systems and methods for identifying an entity in a query image by comparing the query image with digital images in a database. In one or more embodiments, a query feature may be extracted from the query image and a set of candidate features may be extracted from a set of images in the database. In one or more embodiments, the distances between the query feature and the candidate features are calculated. A feature, which includes a set of shortest distances among the calculated distances and a distribution of the set of shortest distances, may be generated. In one or more embodiments, the feature is input to a trained model to determine whether the entity in the query image is the same entity associated with one of the set of shortest distances.

公开(公告)号：US11989633B2

公开(公告)日：2024-05-21

申请号：US16258116

申请日：2019-01-25

Applicant: Stripe, Inc.

Inventor： Ashish Goel ,  Peter Lofgren

IPC: G06N20/20 ,  G06F18/243 ,  G06N3/084 ,  G06N5/043

CPC classification number: G06N20/20 ,  G06F18/24323 ,  G06N3/084 ,  G06N5/043

Abstract: Embodiments herein use transfer learning paradigms to facilitate classification across entities without requiring the entities access to the other party's sensitive data. In one or more embodiments, one entity may train a model using its own data (which may include at least some non-shared data) and shares either the scores (or an intermediate representation of the scores). One or more other parties may use the scores as a feature in its own model. The scores may be considered to act as an embedding of the features but do not reveal the features. In other embodiments, parties may be used to train part of a model or participate in generating one or more nodes of a decision tree without revealing all its features. The trained models or decision trees may then be used for classifying unlabeled events or items.

公开(公告)号：US11601509B1

公开(公告)日：2023-03-07

申请号：US15825044

申请日：2017-11-28

Applicant: Stripe, Inc.

Inventor： Peter Lofgren ,  Pranav Dandekar ,  Ashish Goel ,  Andrew Paul Tausz

IPC: G06Q50/00 ,  H04L67/306 ,  G06N7/00 ,  H04L67/50

Abstract: Described herein are systems and methods for predicting whether an entity associated with a profile in one network is the same entity that is associated with a profile in a second network, which networks may represent networks from different network services or may represent networks from the same network service. In embodiments, network graph features, including nodes and connections, may be used to predict a probability that the profiles in the two networks should be matched. In embodiments, additional or different factors may be included in the predicted probability, such as homophily, match probabilities of seed nodes, match probabilities of attribute-matched nodes, attribute-attribute co-occurrence probabilities, and the like.

公开(公告)号：US11409789B2

公开(公告)日：2022-08-09

申请号：US16711253

申请日：2019-12-11

Applicant: Stripe, Inc.

Inventor： Pranav Dandekar ,  Ashish Goel ,  Peter Lofgren

IPC: G06F16/00 ,  G06F16/56 ,  G06F16/583 ,  G06F16/2457 ,  G06V40/16

Abstract: Embodiments of the present disclosure include systems and methods for identifying people in an image that contains more than one images of people. In embodiments, a query feature representation that represents features is extracted from each image of a person. In embodiments, each query feature representation is compared to image feature representations in a database and a set of candidate representations is selected among the image feature representations. Then, a set of user accounts that is associated with the set of candidate representations is selected. The strengths of connection in a network between user accounts in a set of candidate user accounts corresponding to an image and user accounts in a different set of candidate user accounts corresponding to a different image may be determined. In embodiments, user accounts that has the highest strength of connection are selected and used to identify the persons corresponding to the images.