Project Grant 2450936
- 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...
- 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 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 $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...
- The National Science Foundation (NSF) awarded a $266,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to The Leland Stanford Junior University (Stanford University) to advance research in Large Language Model (LLM) unlearning. The project aims to develop new algorithmic frameworks, model interpretability approaches, and data management techniques to enable the targeted removal of harmful content and behaviors from pretrained LLMs without...
- 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...
- The National Science Foundation (NSF) awarded a $800,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Illinois Urbana-Champaign. The 3-year grant, effective September 1, 2024, focuses on enhancing the safety of large language models (LLMs) used in high-stakes applications. The project aims to develop quantifiable safety measures and algorithms to detect and mitigate unsafe behaviors in LLMs, such as providing false or...
- 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 $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 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 principles for the rapidly growing ecosystem of AI applications and produce educational resources for the next generation of researchers and practitioners in this emerging security area. The research will open-source a platform that integrates the developed algorithms and provide a comprehensive tutorial on prompt injection attacks and defenses.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $150.0k | 8/7/25 |