Project Grant 2453818
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $309,407 to Virginia Polytechnic Institute & State University (Virginia Tech) to develop a framework for ensuring the safety and trustworthy deployment of generative artificial intelligence (AI) foundation models, particularly large language models. The project will pursue three key tasks: 1) Conduct in-depth analysis to identify root...
- 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...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) Project Grant award of $200,000 provides funding to Virginia Polytechnic Institute & State University (Virginia Tech) from September 1, 2024 to August 31, 2027. The project aims to create a more automated and generic framework, along with effective tools, to distill fundamental knowledge of feature spaces and build AI-ready feature spaces using deep generative...
- 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 EAGER project grant, awarded by the National Science Foundation (NSF) under its Integrative Activities program (CFDA 47.083), aims to develop a framework for better safeguarding AI research from growing security threats. Led by Virginia Polytechnic Institute & State University (Virginia Tech), the project will explore how to map potential threats across the AI research lifecycle and help institutions, educators, and policymakers address vulnerabilities more effectively. Through...
- 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 $369,693 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program aims to transform cybersecurity defenses against advanced persistent threats (APTs) by leveraging large language models (LLMs). The 5-year project, awarded to Virginia Polytechnic Institute & State University, will develop an LLM-powered framework to enhance cyber threat detection, investigation, and collaboration between human experts and automated...
- This $150,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to North Carolina Agricultural and Technical State University aims to train a diverse research workforce to develop and use fair, ethical, and unbiased AI-based cybersecurity solutions for cloud computing infrastructure. The project will develop and integrate seven advanced experiential learning modules, referred to as AI4SecureCI, into...
- The National Science Foundation (NSF) awarded a $600,000 Project Grant under the Computer and Information Science and Engineering (CISE) program to New York University (NYU) to investigate the risks of AI-generated code in the software supply chain. The 3-year project, which began on June 1, 2024, aims to: (i) develop techniques to distinguish human-written code from AI-generated code, (ii) measure the prevalence and security implications of AI-generated code in open-source software, and (iii)...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of a learner-centered artificial intelligence (AI) co-pilot tool to crowd-source the curation of comprehensive cybersecurity attack artifacts. The $299,999 award to the Rochester Institute of Technology (RIT) aims to leverage large language models and techniques like prompt engineering to guide users in emulating end-to-end...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant award of $320,000 to Virginia Polytechnic Institute & State University (Virginia Tech) aims to develop generative artificial intelligence (GenAI) methods to create synthetic but useful data for network and application security tasks. The project, titled "COLLABORATIVE RESEARCH: SATC: CORE: MEDIUM: PRACTICAL GENERATIVE AI TO ENHANCE SECURITY CLASSIFIERS BY OVERCOMING DATA CHALLENGES," will address the challenge of obtaining good training data for machine learning-based security classifiers, which is often difficult due to the rarity of threats or lack of data sharing. The team will work to advance knowledge of GenAI systems and create more practical, effective defenses against cyberthreats. The project will also develop novel educational resources on AI and security topics and provide opportunities for pre-college teachers, students, and undergraduate researchers. The award period is from October 1, 2025, to September 30, 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $320.0k | 8/4/25 |