公开(公告)号：US11003782B2

公开(公告)日：2021-05-11

申请号：US16751256

申请日：2020-01-24

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Balachander Krishnamurthy ,  Adam Christopher Bender ,  Craig Ellis Wills

IPC: G06F11/00 ,  G06F12/14 ,  G06F12/16 ,  G08B23/00 ,  G06F21/60 ,  H04L29/08 ,  G06F21/62 ,  H04L29/06 ,  G06F21/57

Abstract: Methods, systems, and products protect personally identifiable information. Many websites acquire the personally identifiable information without a user's knowledge or permission. Here, though, the user may control what personally identifiable information is shared with any website. For example, the personally identifiable information may be read from a header of a packet and compared to a requirement associated with a domain name.

公开(公告)号：US20200159935A1

公开(公告)日：2020-05-21

申请号：US16751256

申请日：2020-01-24

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Balachander Krishnamurthy ,  Adam Christopher Bender ,  Craig Ellis Wills

IPC: G06F21/60 ,  G06F21/57 ,  H04L29/06 ,  G06F21/62 ,  H04L29/08

Abstract: Methods, systems, and products protect personally identifiable information. Many websites acquire the personally identifiable information without a user's knowledge or permission. Here, though, the user may control what personally identifiable information is shared with any website. For example, the personally identifiable information may be read from a header of a packet and compared to a requirement associated with a domain name.

公开(公告)号：US08776224B2

公开(公告)日：2014-07-08

申请号：US13644055

申请日：2012-10-03

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Balachander Krishnamurthy ,  Oliver Spatscheck ,  Jacobus Van Der Merwe ,  Anirudh Ramachandran

IPC: G06F11/00

CPC classification number: G06F21/552 ,  G06F21/566 ,  H04L63/10 ,  H04L63/1441 ,  H04L63/1483

Abstract: According to an aspect of this invention, a method to detect phishing URLs involves: creating a whitelist of URLs using a first regular expression; creating a blacklist of URLs using a second regular expression; comparing a URL to the whitelist; and if the URL is not on the whitelist, comparing the URL to the blacklist. False negatives and positives may be avoided by classifying Internet domain names for the target organization as “legitimate”. This classification leaves a filtered set of URLs with unknown domain names which may be more closely examined to detect a potential phishing URL. Valid domain names may be classified without end-user participation.

Abstract translation: 根据本发明的一个方面，一种检测网络钓鱼URL的方法包括：使用第一正则表达式创建URL的白名单; 使用第二个正则表达式创建URL黑名单; 将网址与白名单进行比较; 如果该网址不在白名单中，请将该URL与黑名单进行比较。 通过将目标组织的互联网域名分类为“合法”，可以避免虚假的否定和积极性。 此类别会留下一组经过筛选的未知域名的URL，可以更仔细地检查以检测潜在的网络钓鱼URL。 有效的域名可能没有最终用户的参与分类。

公开(公告)号：US20130138639A1

公开(公告)日：2013-05-30

申请号：US13747026

申请日：2013-01-22

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Graham Cormode ,  Balachander Krishnamurthy

IPC: G06F17/30

CPC classification number: G06F17/3053 ,  G06F17/30867

Abstract: Disclosed are method and apparatus for identifying members of a social network who have a high likelihood of providing a useful response to a query. A query engine examines the personal pages of a set of members and automatically gleans semantic information relevant to the query. From the automatically-gleaned semantic information, a score indicative of the likelihood that the member may provide a useful response is calculated.

Abstract translation: 公开了用于识别对查询有很高可能性的社交网络的成员的方法和装置。 查询引擎检查一组成员的个人页面，并自动收集与查询相关的语义信息。 从自动收集的语义信息中，计算指示成员可以提供有用响应的可能性的得分。

公开(公告)号：US12153915B2

公开(公告)日：2024-11-26

申请号：US17933477

申请日：2022-09-19

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Yaron Kanza ,  Balachander Krishnamurthy ,  Divesh Srivastava

IPC: G06F8/65

Abstract: A method performed by a processing system including at least one processor includes applying a contextual filter to mask a portion of at least one of: an input of a software application, an output of the software application, or an underlying dataset of the software application, where the contextual filter simulates a limitation of a user of the software application, executing the software application with the contextual filter applied to the at least one of: the input of the software application, the output of the software application, or the underlying dataset of the software application, collecting ambient data during the executing, and recommending, based on a result of the executing, a modification to the software application to improve at least one of: an accessibility of the software application or an inclusion of the software application.

公开(公告)号：US20240095008A1

公开(公告)日：2024-03-21

申请号：US17933477

申请日：2022-09-19

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Yaron Kanza ,  Balachander Krishnamurthy ,  Divesh Srivastava

IPC: G06F8/65

CPC classification number: G06F8/65

Abstract: A method performed by a processing system including at least one processor includes applying a contextual filter to mask a portion of at least one of: an input of a software application, an output of the software application, or an underlying dataset of the software application, where the contextual filter simulates a limitation of a user of the software application, executing the software application with the contextual filter applied to the at least one of: the input of the software application, the output of the software application, or the underlying dataset of the software application, collecting ambient data during the executing, and recommending, based on a result of the executing, a modification to the software application to improve at least one of: an accessibility of the software application or an inclusion of the software application.

公开(公告)号：US20230259796A1

公开(公告)日：2023-08-17

申请号：US18172654

申请日：2023-02-22

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Emily Dodwell ,  Balachander Krishnamurthy ,  Rajat Malik ,  Ritwik Mitra

IPC: G06N5/04 ,  G06F16/28 ,  G06N20/00

CPC classification number: G06N5/04 ,  G06F16/285 ,  G06N20/00

Abstract: Aspects of the subject disclosure may include, for example, system and apparatus that enable operations that may include receiving, by a processing system, project data defining a proposed machine learning(ML) project of an entity and storing the project data in a project database with other project data for other projects. The operations may further include extracting extracted features of the proposed project and, based on the extracted features, determining a clustering assignment for the proposed project. Determining the clustering assignment may comprise comparing information about the proposed project including the extracted features with information about the other projects and assigning the proposed project to a cluster including one or more projects having similar bias characteristics as the proposed project. The operations may further include determining a risk of potential bias for the proposed project and, based on the risk of bias, recommending a corrective action to reduce the risk of bias. Machine learning models may be used for project clustering and bias score determination and may be readily updated as new ML projects are evaluated. Other embodiments are disclosed.

公开(公告)号：US20210174222A1

公开(公告)日：2021-06-10

申请号：US16704965

申请日：2019-12-05

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Emily Dodwell ,  Balachander Krishnamurthy ,  Rajat Malik ,  Ritwik Mitra

IPC: G06N5/04 ,  G06N20/00 ,  G06F16/28

Abstract: Aspects of the subject disclosure may include, for example, system and apparatus that enable operations that may include receiving, by a processing system, project data defining a proposed machine learning (ML) project of an entity and storing the project data in a project database with other project data for other projects. The operations may further include extracting extracted features of the proposed project and, based on the extracted features, determining a clustering assignment for the proposed project. Determining the clustering assignment may comprise comparing information about the proposed project including the extracted features with information about the other projects and assigning the proposed project to a cluster including one or more projects having similar bias characteristics as the proposed project. The operations may further include determining a risk of potential bias for the proposed project and, based on the risk of bias, recommending a corrective action to reduce the risk of bias. Machine learning models may be used for project clustering and bias score determination and may be readily updated as new ML projects are evaluated. Other embodiments are disclosed.

公开(公告)号：US08862635B2

公开(公告)日：2014-10-14

申请号：US13747026

申请日：2013-01-22

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Graham Cormode ,  Balachander Krishnamurthy

IPC: G06F17/30

CPC classification number: G06F17/3053 ,  G06F17/30867

Abstract: Disclosed are method and apparatus for identifying members of a social network who have a high likelihood of providing a useful response to a query. A query engine examines the personal pages of a set of members and automatically gleans semantic information relevant to the query. From the automatically-gleaned semantic information, a score indicative of the likelihood that the member may provide a useful response is calculated.

Abstract translation: 公开了用于识别对查询有很高可能性的社交网络的成员的方法和装置。 查询引擎检查一组成员的个人页面，并自动收集与查询相关的语义信息。 从自动收集的语义信息中，计算指示成员可以提供有用响应的可能性的得分。

公开(公告)号：US20140195606A1

公开(公告)日：2014-07-10

申请号：US13737723

申请日：2013-01-09

Applicant: AT&T INTELLECTUAL PROPERTY I, L.P.

Inventor： Balachander Krishnamurthy ,  Alan Edward Mislove

IPC: H04L29/08

CPC classification number: H04L67/22 ,  G06Q30/02 ,  G06Q50/01 ,  H04L67/306

Abstract: A method, computer readable medium and apparatus for determining a value of a user of a social network are disclosed. For example, the method measures user influence information of the user on the social network. The method then calculates the value of the user based upon the user influence information.

Abstract translation: 公开了一种用于确定社交网络的用户的价值的方法，计算机可读介质和装置。 例如，该方法测量用户在社交网络上的影响信息。 然后，该方法基于用户影响信息计算用户的值。