Project Grant 2450937
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant for $150,000, awarded on October 1, 2025, supports research to secure large language model (LLM) applications against prompt injection attacks. The project, led by the University of California, Berkeley, will conduct a systematic study to deepen the understanding of such threats and develop new defenses to mitigate these attacks. The project aims to establish foundational security...
- 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 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $250,000 to The Pennsylvania State University to develop a cybersecurity training program focused on Large Language Models (LLMs) and their applications in advanced cyberinfrastructure systems. The key objectives of this 3-year project are to train undergraduate and graduate students across the nation on identifying, analyzing, and...
- 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 Project Grant award, valued at $249,956.00, was provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) and is focused on developing a cybertraining program to train undergraduate and graduate students across the nation to identify, analyze, and mitigate different attack vectors targeting large language model (LLM)-empowered advanced cyberinfrastructure (CI) systems. The program will consist of eight...
- This Project Grant award from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) provides $262,900 to Portland State University over the period of October 1, 2023 to September 30, 2025. The goal of this project is to redesign security education curricula to better integrate and leverage the use of large language models (LLMs) in addressing modern cybersecurity challenges. The key objectives are to create new educational content and lab...
- This Project Grant award of $450,000.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will support research by the Regents of the University of California at Riverside to explore how large language models (LLMs) can assist in the analysis of complex computer software. The project aims to investigate strategies for using LLMs to complement existing program analysis techniques, with the goal of improving the accuracy and speed of...
- This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $100,000 to The Pennsylvania State University to develop an open, community-driven evaluation infrastructure for assessing the safety risks of large language models (LLMs). The project aims to advance AI safety research, foster public awareness, and strengthen workforce training in responsible AI practices. Key objectives include...
- This Project Grant award of $370,692 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, titled "CAREER: UNDERSTANDING THE EFFECTS OF LARGE LANGUAGE MODELS ON ONLINE COMMUNITY INFORMATION WORK", will fund research to model the risks that large language models (LLMs) pose to effective online discourse and develop tools to help information professionals assess LLM-generated content. The project aims to create generalizable...
- This Project Grant award, titled "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 $268,000 award will be executed by Michigan State University from October 1, 2025 to September 30, 2029. The project aims to establish a comprehensive foundation for "unlearning" in large language models (LLMs), enabling the targeted...
This $180,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will support a collaborative research project at The Pennsylvania State University (Penn State) to study and develop new defenses against prompt injection attacks on large language models (LLMs). 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 due to the lack of separation between instructions and data in prompts, and (2) develop new methods to prevent, detect, and attribute such prompt injection attacks. The project will open-source a platform integrating the developed algorithms along with comprehensive educational materials on prompt injection attacks and defenses, which will serve as valuable resources for researchers and students in this emerging security area.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $180.0k | 8/7/25 |