Project Grant 2618891
- The National Science Foundation Division of Computer and Network Systems awarded The Pennsylvania State University $350,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop jurisdiction-aware copyright protections for large language models. The project addresses copyright vulnerabilities in LLMs by creating a technical framework that connects model training, real-time inference, and post-deployment refinement. The work includes...
- The National Science Foundation Division of Graduate Education awarded The Pennsylvania State University $500,000 on August 1, 2026, under the STEM Education program (CFDA 47.076) to develop a lab-centric curriculum and educational platform for large language model security. Penn State will create experiential learning materials and hands-on laboratories addressing LLM security risks across three interconnected thrusts: lab-guided understanding of LLM fundamentals and LLM-integrated...
- 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...
- The National Science Foundation Division of Computing and Communication Foundations awarded The Trustees of The University of Pennsylvania $300,000 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop statistical foundations for large language models that advance reliability, transparency, and accountability in AI systems. The project addresses limitations in large language model outputs—including overconfident errors, hidden biases in...
- Federal Project Grant Award Summary The Pennsylvania State University received a $250,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) effective August 1, 2025, through July 31, 2028, to develop and deliver a comprehensive cybertraining program addressing the security vulnerabilities associated with Large Language Models (LLMs) in advanced cyberinfrastructure systems. The project delivers a structured educational...
- Federal Project Grant Summary The Pennsylvania State University received a $180,000 Project Grant awarded October 1, 2025, by the National Science Foundation's Division of Computer and Network Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). This collaborative research initiative addresses security vulnerabilities in Large Language Model (LLM)-integrated applications through a systematic investigation of prompt injection attacks—a class of...
- The National Science Foundation Division of Computing and Communication Foundations awarded $200,000 to the University of Missouri at Kansas City on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop and implement a curriculum-based undergraduate research experience program focused on AI security and privacy. The recipient will design, implement, and evaluate flexible educational modules—including labs, tutorials, assignments, and...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded The Pennsylvania State University $270,000 on January 1, 2027, under the Engineering program (CFDA 47.041) to develop a subspace optimization framework for resource-efficient and privacy-preserving fine-tuning of large language models. The research addresses the challenge of adapting general-purpose LLMs to specialized tasks without requiring substantial computing resources or sensitive...
- The National Science Foundation Division of Computing and Communication Foundations awarded Carnegie Mellon University $800,000 on October 1, 2026, to develop teaching materials and assessment methods that help programmers and trainees judge when to rely on artificial intelligence tools versus performing work independently. The project conducts empirical research on how working programmers and early-career developers allocate tasks between themselves and AI systems, identifying patterns of...
- Federal Project Grant Award Summary The Pennsylvania State University received a $100,000 Project Grant award dated July 15, 2025, from the National Science Foundation's Division of Computer and Network Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The project, titled "Accelerating LLM Safety Research with Self-Evolving Evaluation Infrastructure," aims to develop an open, community-driven evaluation framework to assess Large Language...
The National Science Foundation Division of Computing and Communication Foundations awarded The Pennsylvania State University $369,905 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop educational materials, practical tools, and a website enabling high school and undergraduate learners to investigate how large language models handle copyrighted and private information, collect evidence of vulnerabilities, and communicate their findings. The project addresses a gap in computing and cybersecurity education by teaching students to examine AI behavior, identify risks, and assess trustworthiness of LLM systems rather than treating them as finished products. Specific deliverables include teaching materials, browser-based tools requiring no programming experience or special equipment, and an interactive website designed for adoption across K-12 schools and under-resourced institutions. The work organizes around three interconnected activities developing a use-inspired theory for AI security education tools and researching an education-centered pipeline for detecting, measuring, and communicating copyright and privacy risks in LLMs. Performance occurs in State College, Pennsylvania, with a period of performance through September 30, 2029. The project serves national workforce development by preparing skilled personnel for growing jobs in AI safety, oversight, and security.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $369.9k | 8/11/26 |