Project Grant 2247514
- This $100,000 project grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program will fund research to understand the impact of privacy interventions on the online publishing ecosystem. The three-year award to the New Jersey Institute of Technology will support studies of how publishers comply with and implement privacy regulations, how users respond to new privacy tools, and the effects on user engagement, publisher revenues from online advertising, and...
- This Project Grant award of $355,381 was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) federal grant program (CFDA 47.070). The award will support research by the University of Pennsylvania to advance methods for analyzing the effects of targeted digital advertising online. The researchers will develop software systems to collect and analyze the content and impacts of digital targeted advertisements on real users. The...
- This $377,003 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a suite of privacy-preserving web services that never process unencrypted user data. The goal is to allow Internet users to benefit from web services while protecting their sensitive personal information from risks like data breaches and unauthorized disclosure. The project consists of three main components: (1) private machine...
- New York University will receive $333,708 from the National Science Foundation under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) for a project grant titled "COLLABORATIVE RESEARCH: SATC: CORE: MEDIUM: METHODS AND TOOLS FOR EFFECTIVE, AUDITABLE, AND INTERPRETABLE ONLINE AD TRANSPARENCY." Over a four year period from May 2022 to April 2026, NYU researchers will map current online advertising transparency mechanisms, develop methodologies to...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $174,998 to The Trustees of the Stevens Institute of Technology to investigate timing side channels in adaptive neural networks. The project aims to: (1) define a threat model for exploiting timing channels to gain sensitive user information, (2) develop a machine learning-based pipeline to utilize these timing channels, (3) create an...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award of $100,000 to Northeastern University provides funding for a 3-year collaborative research project titled "SATC: CORE: SMALL: Empathy-Based Privacy Education and Design Through Synthetic Persona Data Generation." The project aims to develop new frameworks and tools to enhance privacy education and design through the use of AI-generated synthetic...
- The University of Washington was awarded a $515,996 project grant from the National Science Foundation Division of Computer and Network Systems. The grant supports the "Studying Problematic Content in the Web Advertising Ecosystem" research project taking place from January 2021 through December 2023. The project aims to investigate problematic and misleading content in digital advertising through the Computer and Information Science and Engineering program. This program supports...
- The National Science Foundation (NSF) awarded a Project Grant titled "COLLABORATIVE RESEARCH: IMR: MM-1B: PRIVACY-PRESERVING DATA SHARING FOR MOBILE INTERNET MEASUREMENT AND TRAFFIC ANALYTICS" under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the Board of Regents of the University of Nebraska, doing business as the University of Nebraska, in the amount of $170,000. The project aims to develop new methods for augmenting mobile internet...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program provides $13,843 to the Massachusetts Institute of Technology (MIT) to develop new computer systems that protect individual privacy while enabling organizations to gain insights from large datasets. The project investigates three key areas: 1) privacy-preserving data collection protocols that compute aggregate statistics without accessing individual records, 2)...
- The National Science Foundation awarded $349,079 under its Computer and Information Science and Engineering program (CFDA 47.070) to Stony Brook University for a collaborative research project titled "COLLABORATIVE RESEARCH: SATC: CORE: MEDIUM: APP-DRIVEN WEB BROWSING: NOVEL RISKS, VULNERABILITIES, AND DEFENSES." The project, taking place from October 1, 2022 to September 30, 2026, will analyze security risks inherent in non-browser applications that enable web browsing. Researchers...
COLLABORATIVE RESEARCH: SATC: CORE: MEDIUM: UNDERSTANDING AND COMBATTING IMPERSONATION ATTACKS AND DATA LEAKAGE IN ONLINE ADVERTISING -ONLINE ADVERTISING NETWORKS TRACK WHICH WEBSITES PEOPLE VISIT AND WHAT THEY DO ON THOSE WEBSITES. AD NETWORKS PERFORM SUCH TRACKING TO DEVELOP A COMPREHENSIVE UNDERSTANDING OF PEOPLE'S ACTIVITY ACROSS THEIR DEVICES IN ORDER TO SELL ADVERTISEMENTS RELATED TO THOSE ACTIVITIES. UNFORTUNATELY, THE WAY AD NETWORKS COMBINE INFORMATION FROM DIFFERENT DEVICES INTO A SINGULAR UNDERSTANDING OF A GIVEN PERSON IS INSECURE AND CAN ALLOW A MALICIOUS PARTY ON THE INTERNET TO LEARN SENSITIVE INFORMATION ABOUT THE USER SUCH AS WHAT WEBSITES THEY VISIT, WHAT PRODUCTS THEY PURCHASED, OR WHAT HOTELS THEY VISITED. THIS PROJECT'S NOVEL CONTRIBUTIONS ARE THE IDENTIFICATION OF THIS NEW KIND OF THREAT TO USER PRIVACY, WAYS OF IDENTIFYING WHEN AD NETWORKS TRACK USERS ACROSS THEIR DEVICES, AND DEVELOPING TOOLS TO HELP PEOPLE UNDERSTAND WHAT INFORMATION AD NETWORKS KNOW AND RETAIN ABOUT THEM. THE PROJECT'S BROADER SIGNIFICANCE AND IMPORTANCE ARE HOW IT WILL HELP PROTECT PEOPLE'S PRIVACY WHILE ALSO EDUCATING THEM ON THE PERVASIVENESS AND SPECIFICITY OF ONLINE TRACKING, ALLOWING THEM TO MAKE MORE INFORMED DECISIONS ABOUT THEIR ONLINE ACTIVITIES. IDENTIFYING AND COMBATING AD NETWORK PRIVACY THREATS REQUIRES AN INVESTIGATION OF AD NETWORKS, WEB BROWSERS, AND MEASUREMENT METHODS. THIS PROJECT WILL IMPROVE USER PRIVACY VIA THREE INTERCONNECTED INVESTIGATIONS. THE PROJECT WILL: 1) DEFINE AND ENUMERATE A NEW CLASS OF PRIVACY THREAT STEMMING FROM AD NETWORKS' EFFORTS TO CORRELATE USER ACTIVITY ACROSS DEVICES, INCLUDING SYSTEMATIZING AN UNDERSTANDING OF THIS THREAT'S FULL ATTACK SURFACE AND IMPACT ON USER PRIVACY ACROSS THE INTERNET. 2) DEVELOP A SUITE OF ROBUST STATISTICAL METHODS TO DETECT WHEN AD NETWORKS LINK DEVICES TOGETHER BASED ON OBSERVED ADVERTISING BEHAVIORS THAT WILL ENABLE UNDERSTANDING HOW AD NETWORKS TRACK USERS INDEPENDENT OF ENVIRONMENT OR COMPUTING PLATFORM. 3) CREATE A SET OF TOOLS THAT WILL EDUCATE AND EMPOWER USERS TO UNDERSTAND WHAT DATA AND INFERENCES AD NETWORKS HAVE MADE, AND IF AD NETWORKS ARE RESPECTING DATA DELETION REQUESTS. THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $102.7k | 9/15/25 | ||
| Not listed | $98.7k | 7/8/25 | ||
| Not listed | $97.5k | 8/31/23 | ||
| Not listed | $101.1k | 6/9/23 |