Project Grant 2555559
- 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...
- The National Science Foundation Division of Computer and Network Systems awarded Arizona State University $174,339 under the Computer and Information Science and Engineering program (CFDA 47.070) on October 1, 2026, for collaborative research on jurisdiction-aware copyright protections in large language models. The project develops technical frameworks to prevent large language models from reproducing protected copyrighted materials while accounting for differing legal requirements across...
- The National Science Foundation Office of Advanced Cyberinfrastructure awarded The Pennsylvania State University $299,770 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to investigate and train digital archive communities in the uses of generative AI and the National AI Research Resource (NAIRR). The project connects AI and computing scholars with digital archives and cultural practice researchers to conduct mutual training and co-create...
- 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 $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 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 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...
- The National Science Foundation Division of Information and Intelligent Systems awarded The Pennsylvania State University $400,000 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to support collaborative research on neuro-AI foundations for long-range dependency tasks. The project addresses fundamental challenges in enabling spiking neural networks to efficiently handle long-range dependencies and generative tasks for edge-based AI...
- 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 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 building structured representations of jurisdiction, license, and usage context to guide model behavior through efficient adaptation and targeted unlearning; designing legal risk-aware reward models that balance useful responses with local copyright compliance; developing inference-time safeguards that analyze internal model states before generation and monitor outputs during generation to localize and mitigate risky spans; and implementing a feedback-guided data editing process to address detected failures. The approach recognizes that copyright mitigation strategies appropriate in one jurisdiction may be inappropriate in another, and that real systems face changing laws, new copyrighted works, and adversarial user prompts. The work supports innovation in generative AI by reducing copyright leakage while preserving useful capabilities of these systems, advancing security, safety, and accountability for publishers, educators, researchers, businesses, and the public. Performance occurs at Penn State's State College, Pennsylvania campus from October 1, 2026, through September 30, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $350.0k | 8/5/26 |