Project Grant 2129824

Award Date 10/1/21
Completion Date 9/30/24
Dollars Obligated $498K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
NEWCOMB HALL, VA 22904, USA
Similar Awards
The National Science Foundation (NSF) awarded a $1,174,741 Project Grant to Rector & Visitors Of The University Of Virginia, doing business as the University of Virginia, to conduct research under the NSF Division of Computing and Communication Foundations program (CFDA 47.070). The project, titled "SHF: MEDIUM: MORE RELIABLE IMAGE NETWORKS THROUGH SCENE-BASED SPECIFICATION, NEURO-SYMBOLIC TRAINING, AND SYSTEMATIC SPECIFICATION-DRIVEN TESTING", seeks to develop techniques to assure...
The University of Virginia received a $500,000 Project Grant award from the National Science Foundation Division of Information and Intelligent Systems on January 1, 2022 to support research titled "SATC: CORE: SMALL: GENERALIZING ADVERSARIAL EXAMPLES IN NATURAL LANGUAGE." The period of performance for this award is January 1, 2022 through December 31, 2024. The award will support investigator-initiated research in the area of computer and information science and engineering under...
The University of Virginia received a $374,876 project grant award from the National Science Foundation to conduct research titled "COLLABORATIVE RESEARCH: DASS: ACCOUNTABLE SOFTWARE SYSTEMS FOR SAFETY-CRITICAL APPLICATIONS" from October 1, 2021 through September 30, 2024. The grant was awarded under the NSF's Computer and Information Science and Engineering program (CFDA #47.070), which supports investigator-initiated research and education in all areas of computing, communications,...
Virginia Polytechnic Institute & State University (Virginia Tech) was awarded a $323,982 project grant from the National Science Foundation (NSF) under the Computer and Information Science and Engineering program. The grant will fund a collaborative research project titled "Reinventing Fuzz Testing for Data and Compute Intensive Systems" from October 1, 2021 to September 30, 2025. The research aims to advance the development of fuzz testing techniques for data-intensive and...
The University of Virginia (UVA) received a $600,000 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) to advance federated graph machine learning (FGML) techniques. The project aims to 1) address data heterogeneity challenges in FGML, 2) develop novel algorithms to tackle label deficiency issues, and 3) strengthen data privacy protection for node attributes and graph structures. The research will produce...
The University of Virginia received a $260,242 project grant award from the National Science Foundation Office of Advanced Cyberinfrastructure on January 1, 2022 to support the "EAGER: SCIDATBENCH: PRINCIPLES AND PROTOTYPES OF SCIENCE DATA BENCHMARKS" project through October 31, 2022. The grant was awarded under the Computer and Information Science and Engineering program (CFDA #47.070), which supports investigator-initiated research and education in computing, communications, and...
The University of Virginia (UVA) received a $197,290 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to conduct collaborative research on security and privacy in machine unlearning. The project aims to better understand and defend against security and privacy risks that may arise from the use of machine unlearning techniques, which allow companies to remove the influence of personal data from their...
This $500,000 National Science Foundation project grant supports the development of new cyberattack detection approaches for large networks using complex graph modeling. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), key products include constructing a complex graph model with graph refinement techniques to represent network traffic. The University of Virginia will design semi-supervised and weakly-supervised graph-based learning algorithms leveraging...
The University of Virginia received a $249,101 project grant award from the National Science Foundation Division of Behavioral and Cognitive Sciences. The grant was awarded under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) to support the "METHODS AND RESULTS IN LANGUAGE DOCUMENTATION USING LITERARY DIGITAL EDITIONS" project from January 1, 2022 to June 30, 2024. The funding will allow the University of Virginia to contribute to scientific research and...
The National Science Foundation Office of Advanced Cyberinfrastructure awarded Virginia Polytechnic Institute and State University a $499,999 Project Grant under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The five-year award will support research to advance data valuation techniques for machine learning applications. Specifically, the university will conduct four research tasks to enable data valuation to overcome challenges related to...

The University of Virginia received a $498,460 project grant award from the National Science Foundation on October 1, 2021 to support research titled "SHF: SMALL: DISTRIBUTION-AWARE TESTING FOR NEURAL NETWORKS." The project aims to develop testing techniques for neural networks that account for data distribution properties and will be completed by September 30, 2024.

The award is provided through the NSF's Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education in computing, communications, and information science and engineering. The University of Virginia project aligns with the program's goals of advancing the development and use of cyberinfrastructure to enable and accelerate discovery and innovation in these fields.

Generated 1/6/24, 7:45 PM