Project Grant 2601695
- The National Science Foundation (NSF), through its Computer and Information Science and Engineering (CISE) program (CFDA 47.070), awarded a $268,000 project grant to Michigan State University to advance research in Large Language Model (LLM) unlearning. The goal of this 4-year project is to develop new algorithmic frameworks, interpretability-driven approaches, and data-centric methods to enhance the effectiveness, robustness, and security of LLMs by enabling the targeted removal of harmful data...
- This federal Project Grant award from the National Science Foundation (NSF), under the Computer and Information Science and Engineering (CFDA 47.070) program, supports research to expand the understanding of large language models (LLMs), a type of artificial intelligence (AI) system. The $471,529 award, effective September 1, 2025 through August 31, 2028, will enable researchers at Boston University to develop methods for identifying and characterizing more sophisticated multi-dimensional and...
- This $127,000 Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) will support the development of a comprehensive educational program at Rutgers, The State University to address security vulnerabilities in artificial intelligence (AI) and machine learning (ML) systems. The key products and services to be delivered under this 3-year award include: Creating a practice-in-the-loop learning experience for students to understand the security of ML models in...
- The National Science Foundation (NSF) awarded a $300,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program to the University of Virginia. This 3-year grant, running from August 1, 2025 to July 31, 2028, aims to develop approaches to effectively optimize the utilization of both external and internal knowledge in large language models (LLMs) to improve their ability to generate innovative research ideas. The key research tasks include: (1)...
- This Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to develop a cybersecurity training program to educate undergraduate and graduate students on identifying, analyzing, and mitigating various attack vectors targeting large language model (LLM)-powered advanced cyberinfrastructure (CI) systems. The $249,956 award, with a performance period from August 1, 2025 to July 31, 2028,...
- The National Science Foundation (NSF) awarded a $127,000 Project Grant under the STEM Education program (CFDA 47.076) to the New Jersey Institute of Technology (NJIT) to develop comprehensive educational modules focused on the security of machine learning (ML) models in artificial intelligence (AI) systems. The project aims to create a practice-in-the-loop learning experience for students to understand the security vulnerabilities and solutions for ML in computer vision, speech recognition,...
- The National Science Foundation (NSF) awarded a $600,000 Project Grant under the Integrative Activities program (CFDA 47.083) to the University of Illinois for the "AICYBERLAKE" project. This 3-year award, effective August 1, 2025, will fund the curation of a security data lake to support evaluations of real-world AI-driven cyberattack detection models for safeguarding the U.S. supercomputing infrastructure. The project aims to provide researchers with a longitudinal dataset on...
- This $150,000 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program supports a collaborative research initiative focused on securing large language models (LLMs) against prompt injection attacks. The key objectives of this 4-year project are to: (1) conduct a systematic study to deepen the understanding of security vulnerabilities in LLM-integrated applications arising from the lack of clear boundaries between...
- This federal Project Grant award of $369,693 from the National Science Foundation's 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, beginning October 1, 2025, will develop an LLM-powered framework to enhance various stages of cyber threat protection. Key focus areas include extracting dynamic threat knowledge from cyber threat...
- This federal Project Grant award, titled "COLLABORATIVE RESEARCH: III: MEDIUM: ADVANCING LARGE LANGUAGE MODEL UNLEARNING: FOUNDATIONS AND APPLICATIONS," is funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The $266,000 award, with a performance period from October 1, 2025 to September 30, 2029, aims to establish a comprehensive foundation for "Large Language Model (LLM) Unlearning." The project...
The National Science Foundation's Integrative Activities program (CFDA 47.083) awarded a $600,000 project grant to Virginia Commonwealth University (VCU) to develop the LLMDAL project. The LLMDAL project leverages generative artificial intelligence and data from the AMLIGHT international research and education network to provide labeled datasets necessary for training advanced AI models for automated network defense. The project utilizes large language models to automatically label packet-level data collected from the AMLIGHT network in order to enable effective testing of AI models in real-world environments. The LLMDAL project will release labeled datasets from AMLIGHT in batches over the project period of January 1, 2026 to December 31, 2028 to reflect the evolving threat landscape.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $600.0k | 11/21/25 |