Project Grant 2624954
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Arizona $500,000 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for a CAREER project on machine unlearning in diffusion models. The project develops a systematic framework enabling diffusion-based generative AI models to selectively remove sensitive, outdated, private, copyrighted, or harmful learned concepts without requiring...
- The National Science Foundation Division of Computer and Network Systems awarded The University of Tulsa $500,787 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop machine unlearning methods for generative AI models. The project establishes formal criteria for removing data influences and harmful concepts from pretrained models, addressing regulatory compliance and ethical concerns around private user data, copyrighted material, and...
- The National Science Foundation Division of Computer and Network Systems awarded Purdue University $410,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop methods and tools for verifying the trustworthiness of pre-trained artificial intelligence models shared through open online repositories before their incorporation into scientific workflows and operational systems. The project addresses three security vulnerabilities in the...
- The National Science Foundation Division of Computer and Network Systems awarded Brown University $400,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop methods and tools for verifying the trustworthiness of pre-trained artificial intelligence models before their incorporation into scientific workflows and operational systems. The project addresses three major security vulnerabilities in the machine learning model supply chain....
- The National Science Foundation (NSF) awarded a $600,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of South Carolina. The grant, with a period of performance from October 1, 2024 to September 30, 2027, focuses on enhancing security and mitigating harm in AI-generated vision language models. Key technical objectives include: 1) Developing a prompting framework for detecting harmful content provenance in AI-generated vision...
- 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 Michigan State University received a $268,000 Project Grant awarded October 1, 2025, through the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070), Division of Information and Intelligent Systems. This collaborative research project, titled "Advancing Large Language Model Unlearning: Foundations and Applications," will develop foundational research and algorithmic frameworks to enable the...
- 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 Computing and Communication Foundations awarded Purdue University $357,921 on July 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop algorithmic advances in structure-aware machine learning. The research addresses computational efficiency, reliability, and data governance in modern artificial intelligence systems by studying how the structure of training data shapes the behavior of learning systems....
- Federal Project Grant Award Summary Wayne State University received a $266,000 collaborative research project grant awarded on October 1, 2025, by the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The four-year project, scheduled for completion on September 30, 2029, advances large language model (LLM) unlearning—a technical framework enabling the targeted removal of harmful...
The National Science Foundation Division of Computer and Network Systems awarded the University of Pittsburgh $299,572 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop trustworthy and verifiable machine unlearning frameworks for AI systems operating in adversarial environments. The project addresses vulnerabilities in machine unlearning (MU) approaches, which enable AI models to remove or correct selected training data to support accuracy improvements, regulatory compliance with data-erasure requirements, and protection of privacy-sensitive or intellectual-property information. The award funds research across four integrated thrusts: threat modeling and formal analysis of attack surfaces using game theory; resilient defense against composite attack strategies; verifiable continuous unlearning; and an integrative framework for trustworthy MU. The research will establish foundational understanding of security and privacy risks inherent in the MU process and develop defensive techniques to mitigate them. Work is performed at the University of Pittsburgh's Pittsburgh, Pennsylvania campus through September 30, 2028. The project contributes to AI governance and regulatory-compliance objectives outlined in the 2025 America's Action Plan and anticipates broad dissemination of research results.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $299.6k | 7/24/26 |