Project Grant 2453820
- This $220,000 federal Project Grant award, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA #47.070) program, will support a collaborative research project led by Duke University to investigate and develop new defenses against prompt injection attacks on large language models (LLMs). The research aims to deepen the understanding of such cyber-attack threats and establish foundational security principles for the rapidly growing ecosystem...
- This federal Project Grant award, valued at $450,000.00 and awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to address fundamental computational and statistical limitations of generative artificial intelligence (AI) methods. The key goals of the project are: Determine the capabilities and limitations of generative AI algorithms in terms of the types of probability distributions they can and cannot generate....
- This $300,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program strengthens national cybersecurity and artificial intelligence (AI) education efforts. The project builds a comprehensive collection of cloud-based virtual labs that simulate real-world security challenges. These labs, hosted on the National Artificial Intelligence Research Resource (NAIRR) platform, integrate into cybersecurity, data science, and...
- This $300,000 Project Grant was awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program. The grant will fund collaborative research to empower graph neural networks (GNNs) by addressing key challenges related to data scale, distribution, and quality. The research aims to develop methods for condensing graph data, enhancing GNN generalization under distribution shifts, and creating techniques to detect and...
- This $300,000 Project Grant award from the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083) supports Dakota State University's "SFS AI + CYBERSECURITY: PREPARING THE NEXT GENERATION OF PUBLIC PROFESSIONALS IN ARTIFICIAL INTELLIGENCE AND CYBERSECURITY" initiative. The project aims to produce qualified AI and cybersecurity professionals capable of supporting NSF's mission by providing full scholarships, mentoring, internships, and career placement...
- This $331,428 federal Project Grant award was provided by the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program to the University of Maryland, College Park. The grant supports research to develop techniques for ensuring the security and correctness of code generated by large language models (code LLMs), which are becoming integral to AI-driven software development. Specifically, the project aims to establish a foundation for evaluating the...
- This $100,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support the planning and development of a proposal to study the risks and benefits of generative AI-based systems for security and privacy. The University of Kansas Center for Research Inc., a non-profit subsidiary of the University of Kansas, will lead this planning effort. The goal is to create a fully realized proposal that addresses...
- The National Science Foundation (NSF) awarded a $180,000 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program to Michigan State University. The 3-year grant, awarded on August 15, 2025, supports research to establish statistical frameworks for improving the robustness of artificial intelligence (AI) models against adversarial attacks. The project aims to develop theoretical foundations, scalable training algorithms, and fine-tuning methods to enhance the...
- The National Science Foundation (NSF) awarded a $300,000 Project Grant under its Computer and Information Science and Engineering (CFDA 47.070) program to the University of Arizona to develop a Generative AI-Based Personalized Cybersecurity Tutor (GAI-PCT) for training the workforce in Fourth Industrial Revolution (4IR) cybersecurity. The key products and services to be delivered include: A generative AI-based interactive instructor to assist and guide students through online cybersecurity...
- This Project Grant award of $300,000.00 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program supports research to empower graph neural networks (GNNs) from a data perspective. The project aims to address key limitations of GNNs, which are a powerful class of AI models used to analyze complex data relationships, by focusing on improving the scalability, distribution robustness, and data quality of graph data. The research tasks...
This federal Project Grant award, valued at $155,000.00, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant supports a collaborative research project led by the Regents of the University of Michigan to develop practical generative AI tools for enhancing the performance of security classifiers used to detect cybersecurity threats. The key focus is on addressing data challenges that often limit the effectiveness of machine learning models for security applications, such as the lack of representative threat data. The project aims to advance knowledge in both generative AI systems and more effective defenses against evolving cybersecurity threats. In addition, the grant will support the creation of educational resources on AI and security topics, as well as research opportunities for undergraduate students. The award has a period of performance from October 1, 2025 to September 30, 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $155.0k | 8/4/25 |