Project Grant 2530965
- The U.S. National Science Foundation (NSF) awarded a $332,925 project grant under the Computer and Information Science and Engineering (CISE) Federal Grant Program to Florida International University (FIU). The project, titled "COLLABORATIVE RESEARCH: III: SMALL: AN INFORMATION-THEORETIC FRAMEWORK FOR EXPLAINABLE AND EXPLANATION-ASSISTED GRAPH LEARNING", will develop a comprehensive framework for making graph neural network (GNN) predictions explainable and trustworthy. The research...
- This $471,529 Project Grant awarded by 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). The project at the Trustees of Boston University aims to move beyond identifying simple, binary concepts within LLMs and instead develop methods to discover and characterize more sophisticated, multi-dimensional...
- This $600,000 Project Grant awarded by the National Science Foundation (NSF) Integrative Activities program (CFDA 47.083) will fund the AICYBERLAKE project at the University of Illinois. The project aims to curate a security data lake by sourcing cyberattack data from the DELTAAI system at the National Center for Supercomputing Applications (NCSA) and other supercomputing centers. The resulting data lake will provide a real-time, anonymized stream of attack attempts to vetted research teams...
- This $500,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE, CFDA 47.070) program supports research by the Regents of the University of California at Riverside to study security vulnerabilities in machine learning (ML) models. The project aims to understand how malicious actors could exploit unused parameters in trained ML models to install additional, potentially harmful functionality without detection. The research...
- This $300,000 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA #47.070) program aims to strengthen national cybersecurity and artificial intelligence education efforts. The project will build a comprehensive collection of hands-on labs that simulate real-world security challenges through cloud-based virtual environments. These labs are designed to integrate into cybersecurity, data science, and broader computing...
- This Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $600,000 to Florida State University (FSU) to develop a security-focused framework to protect collaborative scientific computing in Machine Learning as a Service (MLaaS) environments. The key products and services to be delivered include: Robust model protection techniques to hinder reverse engineering of machine learning models while preserving...
- This $250,000 National Science Foundation project grant supports research at Florida International University to develop artificial intelligence techniques for radio frequency machine learning and spectrum situational awareness. Led by FIU, the research team will create lifelong incremental learning approaches to spectrum management and dynamic spectrum access enabled by advanced hardware innovations. The team aims to improve spectrum utilization and coexistence of competing users through a...
- This $180,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports a collaborative research project to secure large language models (LLMs) against prompt injection attacks. The project aims to: (1) conduct a systematic study to deepen understanding of these security threats, and (2) develop new defenses to mitigate such attacks. The research will establish foundational security principles for the rapidly growing...
- This $249,956 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program aims to develop a cybersecurity training program for undergraduate and graduate students across the nation. The goal is to train students to identify, analyze, and mitigate various attack vectors targeting Large Language Model (LLM)-empowered advanced cyberinfrastructure systems, such as ChatGPT, LLAMA, Claude, and Gemini. The 3-year project, set to...
- This Project Grant award of $268,000.00 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program supports research to advance the capabilities of large language models (LLMs) through "LLM unlearning" techniques. The research aims to develop methods for the targeted removal of harmful or sensitive content from pretrained LLMs without compromising overall model performance. Key focus areas include optimization algorithms,...
The National Science Foundation (NSF) awarded a Project Grant of $600,000.00 under the Integrative Activities program (CFDA 47.083) to Florida International University (FIU) for the "LLM-Driven Data Labeling for Training ML Models" (LLMDAL) project. This project leverages generative artificial intelligence (AI) and data from the AmLight international research and education network to provide essential building blocks for automated network defense. The goal is to utilize large language models (LLMs) to automatically label packet-level data collected from AmLight, enabling effective testing of AI models for real-world cybersecurity environments. The project aims to fill a critical gap in automating dataset labeling, supporting the growing need for AI-driven cybersecurity and network management solutions. The award period is from January 1, 2026, to December 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $600.0k | 7/25/25 |