Swoop Inc.

Other

Adobe, Inc.

Veracode, Inc.

Evidon, Inc.

Ghostery, Inc.

Simeon Simeonov

James P Echmalian

Daniel Jaye

Tyler Morrison

Joseph Regan Ferris

Colin O'Malley

Edward Zahrebelski

Yongdeng Chen

Scott B Meyer

James R Morrin, Jr

Edward Kozek

Felix Shnir

Christopher J Wysopal

Christopher J Eng

Matthew P Moynahan

Malcolm W Lockhart

Peter Muzila

Spike Washburn

Matthew Patrick Moynahan

Malcolm Wright Lockhart

Christopher John Wysopal

Christopher James Eng

The quality of predictive model outputs is improved by improving input data in the cases where entities in the input data are associated with one or more classes, computed at least in part from one or more subsets of the input data. Class association function characteristic data is derived from information describing a class association function that generates input data from source data. The class association function characteristic data comprises inferences relating to operation of the class association function that are not derivable solely from the input data. The input data is transformed into improved input data using a constructed class-specific transformation function and the class association function characteristic data.

Predictive outputs in the presence of entity-dependent classes

Values are attributed to components of a data analytics-driven system by representing the system as a computational graph. The computational graph embodies a function that takes one or more inputs and produces an output, and each component of the system is represented as a subgraph of the computational graph. A usage metric is calculated for each component of the system by determining whether the output of the function of the system is affected by the component. A utility metric is also calculated for each component of the system. Based on the calculated component usage metrics and utility metrics, respective value are allocated to the system components.

Systems and methods for attributing value to data analytics-driven system components

Flexible, high-accuracy data processing techniques and accompanying systems avoid criticality in intermediate computations through intelligent, low cost sanitization of data operations. A data processing operation including one or more plans is received, with each plan having a data operation described as a tree based-structure. The plans that are determined to create criticality on execution are sanitized by transforming the plan itself, ancestors, and/or children of the plan. Determining whether execution of a plan creates criticality is based on the determination of whether a set of criticality conditions includes data signals that are associated with the plan. After sanitization, the data processing operation can be fully executed without criticality arising in intermediate operations.

High-accuracy data processing and machine learning techniques for sensitive data

A computerized system and techniques facilitate the monitoring and management of online behaviorally-targeted advertising. In certain embodiments, electronic notifications related to advertising practices of members of an online advertising ecosystem are presented to users based on the discovery of elements of online content aimed at delivering targeted advertising messages to viewers of the content.

Systems and methods for configuring and presenting notices to viewers of electronic ad content regarding targeted advertising techniques used by Internet advertising entities

Embodiments of the invention provide methods and supporting systems for programmatically inserting highly-relevant content ('inserted content' or 'display items') into existing electronic content (&#x201c;native content&#x201d;) such as websites and WAP-enabled domains. The addition of the content considers various attributes of the native content into which the inserted content is to be placed, the user viewing the content, the device on which the content is being placed, the structure of the content, metadata related to the content and/or the content domain, the inserted content itself, as well as many other attributes that may be specific to the instance, or, in some cases, may even be random. The insertion process also uses an insertion strategy to direct how, when and in what form the inserted content is placed into the native content. The dynamic placement includes of creating a content display slot within the content at which display items may be incorporated into the content wherein the content display slot is not defined in the native content and is based at least in part on attributes of the content structure.

Systems and methods for integrating dynamic content into electronic media

Managing and monitoring digital advertising

A scalable architecture for managing, monitoring and enforcing user ad targeting operates across a distributed network. The architecture enables defining and enforcement of policy related to targeting across various domains, platforms, devices, protocols, interactions, content and media types. Targeting decisions utilize user policy as well as profile information. A user policy or portions thereof may be discovered and accessed without requiring direct interactions. The architecture provides a simple and extensible notion of policy scoping, provides an abstract processing model for determining actions related to interactions involving multiple policies, provides for time-limited in addition to use-limited ways to use policy and profile information, provides a set of discovery services that automate policy and profile discovery within and without the context of a targeting interaction, provides a coherent set of monitoring and enforcement strategies for policies, profiles and targeting, provides for easy integration with privacy-safe targeting, and provides scalable behavioral targeting opt-out.

User targeting management, monitoring and enforcement

Security assessment and vulnerability testing of software applications is performed based at least in part on application metadata in order to determine an appropriate assurance level and associated test plan that includes multiple types of analysis. Steps from each test are combined into a 'custom' or 'application-specific' workflow, and the results of each test may then be correlated with other results to identify potential vulnerabilities and/or faults.

Assessment and analysis of software security flaws

A system and method for an application server system is disclosed in which embodiments comprise components created using tags and markup to define extensible metadata for describing and also implementing the requirements and features of the component. Embodiments of the application server also preferably comprises a marshaling application for translating communications between an accessing client application and one of the requested components. Using the marshaling application and the extensible metadata within the component, embodiments of the system may preferably provide information concerning the capabilities and functions of the component enabling many different types of client applications to access and execute the component and receive all resulting data in the appropriate format or protocol.

Universal component system for application servers

Growing community of inventors

Lincoln, MA, United States of America

Simeon Simeonov