Project Grant 2555319
Award Date 10/1/26
Completion Date 9/30/29
Dollars Obligated $501K
Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Tulsa, OK 74104, USA
Similar Awards
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Arizona $500,000 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for a CAREER project on machine unlearning in diffusion models. The project develops a systematic framework enabling diffusion-based generative AI models to selectively remove sensitive, outdated, private, copyrighted, or harmful learned concepts without requiring...
- The National Science Foundation Division of Computer and Network Systems awarded the University of Pittsburgh $299,572 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop trustworthy and verifiable machine unlearning frameworks for AI systems operating in adversarial environments. The project addresses vulnerabilities in machine unlearning (MU) approaches, which enable AI models to remove or correct selected training data to support...
- The National Science Foundation (NSF) awarded the University of Tulsa a $174,946 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) Federal Grant Program. The grant, awarded on May 1, 2024, supports a 2-year research project titled "CRII: SATC: THE RIGHT TO BE FORGOTTEN IN FOLLOW-UPS OF MACHINE LEARNING: WHEN PRIVACY MEETS EXPLANATION AND EFFICIENCY." The project aims to develop algorithms that guarantee users' right to delete their data from machine...
- Federal Project Grant Award Summary The National Science Foundation's Division of Computer and Network Systems awarded The University of Tulsa a $599,656 Project Grant (CFDA 47.070: Computer and Information Science and Engineering) on October 1, 2025, to research and develop detection tools for online scams powered by generative artificial intelligence (GenAI). The project, which extends through September 30, 2028, delivers three primary products and services: (1) empirical research...
- The National Science Foundation Division of Computer and Network Systems awarded Tulane University $599,936 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop compiler-based defenses against reverse engineering of deployed deep neural network binaries. The project develops techniques to protect AI models compiled into machine code on mobile devices, cloud servers, embedded systems, and other hardware by leveraging compiler optimization...
- The National Science Foundation Division of Information and Intelligent Systems awarded Tulane University $376,008 on June 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to conduct collaborative research on fault localization techniques for deep learning models. The project addresses the gap between traditional software fault localization methods and their applicability to deep neural networks, which operate on fundamentally different computational...
- Federal Grant Award Summary The University of Tulsa received a $438,871 CAREER (Faculty Early Career Development) Project Grant from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070) effective October 1, 2025, through September 30, 2030. This award supports research addressing emerging security and ethical challenges in artificial intelligence (AI)-integrated crowdsourcing systems....
- Federal Grant Award Summary The University of Tulsa received a $175,000 Project Grant awarded July 1, 2025, through the National Science Foundation (NSF) Division of Computer and Network Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). This Cyber-Physical Systems (CPS) research initiative, titled "CRII: CPS: Combining Guaranteed Privacy and Resiliency in Dynamic Cyber-Physical Systems," develops technical frameworks and methodologies to...
- The National Science Foundation (NSF) awarded a $549,999 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of North Texas (UNT). The grant, with an award period of July 1, 2025 to June 30, 2030, will support the development of a time-sensitive large model training platform for dynamic data analytics. This research aims to create methods to dynamically refine and adapt existing large-scale deep learning models, enabling real-time...
- The National Science Foundation Division of Computer and Network Systems awarded the University of Oklahoma $291,099 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to design domain knowledge-guided machine learning architectures for wireless network security. The project investigates how to incorporate wireless-domain knowledge across protocol layers into machine learning model design to improve both efficiency and performance in addressing...