Purdue University was awarded a $539,168 Project Grant from the National Science Foundation Division of Computer and Network Systems under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The three-year award will support collaborative research titled "CORE: MEDIUM: BROAD-SPECTRUM FACIAL IMAGE PROTECTION WITH PROVABLE PRIVACY GUARANTEES" from October 1, 2021 through September 30, 2024. The research aims to advance the development and use of...
The National Science Foundation Division of Computer and Network Systems awarded Indiana University a $181,157 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) for the period of May 15, 2021 through April 30, 2022. The grant funding supports collaborative research to understand privacy violations of racial and ethnic minorities in online photo sharing. Specifically, the grant will allow researchers to investigate how photos shared online may...
This $435,594 federal Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program will enable a multi-disciplinary research team led by The Trustees of Columbia University in the City of New York to develop novel approaches for safeguarding personal data used to train artificial intelligence (AI) systems. The project aims to create new disclosure limitation techniques, including differential privacy methods, that can balance the...
This $163,132 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports an interdisciplinary research project investigating privacy negotiation behaviors among stakeholders in smart environments. The project team at Virginia Polytechnic Institute & State University (Virginia Tech) is designing, developing, and deploying an interactive system to collect real-world data on how people manage and negotiate their...
This $274,356 Project Grant was awarded on September 1, 2023 by the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) federal grant program. The funding will support the development of a secure image recognition and machine learning solution using advanced cryptography by L-Infinity Labs, Inc., a for-profit organization. The goal is to adapt existing deep neural network models to use fully homomorphic encryption in order to perform image...
The National Science Foundation (NSF) awarded a $581,966 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Pittsburgh. The grant, awarded on May 1, 2024, with a completion date of April 30, 2027, supports the development of a hardware-software co-design framework to address performance and memory space issues for privacy protection in cloud-based deep learning recommendation systems (DLRMs). Key project objectives include: 1)...
This three-year, $110,645 project grant from the National Science Foundation's Division of Computer and Network Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), supports research into the implementation of privacy in software systems by software developers. The Stanford University research team will examine discussions among developers in response to new privacy regulations and laws, related code updates in public repositories, and developer reactions to...
The National Science Foundation (NSF) awarded a $387,044 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Arizona State University to improve the fundamental limits of privacy-enhancing technologies (PETs). The research aims to develop new PET methods that optimize the balance between preserving individual privacy and enabling comprehensive data analysis for societal benefit in domains such as healthcare, education, and resource allocation. Key...
The University of Southern California was awarded a $499,548 Project Grant from the National Science Foundation Division of Computer and Network Systems under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will support the university's work to accelerate privacy preserving deep learning techniques for real-time secure applications from July 1, 2021 to June 30, 2024. The Computer and Information Science and Engineering program aims to advance...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) project grant, awarded to North Carolina State University, is focused on enhancing privacy in federated learning, which is an AI approach enabling knowledge sharing without compromising data privacy. The $220,258 grant, awarded on October 1, 2024, aims to address vulnerabilities in federated learning schemes that may leak sensitive information through improper privacy...