Project Grant 2540429
- Federal Grant Award Summary The University of Arizona received a $477,128 CAREER (Faculty Early Career Development) Project Grant from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective August 1, 2025 through July 31, 2030. The award supports the development of principled and practical interactive machine learning algorithms designed to address critical challenges...
- 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...
- 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 $344,911 to Rochester Institute of Technology on April 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to defend machine learning models from adversarial threats through unified interpretability and attribution methods. The research develops a layered defense framework across four technical thrusts: scalable attribution techniques that combine gradient-based influence...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Virginia $538,798 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop structure-aware learning methods that enable artificial intelligence systems to extract actionable insights from unstructured text using incomplete, noisy, and ambiguous data rather than requiring perfectly curated datasets. The project, titled "CAREER:...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Illinois $660,307 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop data attribution and curation tools for training large AI systems. The project advances methods that estimate how individual training examples influence the behavior of large language models, recommendation systems, and other production-scale AI. The work...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded Rochester Institute of Technology $560,000 on April 1, 2026, under the NSF CAREER program (CFDA 47.041) to develop machine learning systems that learn continuously from new data without catastrophic forgetting of prior knowledge. The project, titled ADAPTTRUST: Adaptable, Trustworthy and Uncertainty-Aware Learning in Intelligent Sensing Technologies, will design learning methods that leverage...
- The National Science Foundation (NSF) awarded a $300,000 Project Grant under its Computer and Information Science and Engineering (CFDA 47.070) program to the University of Arizona to develop a Generative AI-Based Personalized Cybersecurity Tutor (GAI-PCT) for training the workforce in Fourth Industrial Revolution (4IR) cybersecurity. The key products and services to be delivered include: A generative AI-based interactive instructor to assist and guide students through online cybersecurity...
- 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 Graduate Education awarded $500,000 to the University of Arizona on August 15, 2026, to develop an educational platform for training cybersecurity professionals in adversarial malware defense and AI-enabled cyber security. The deliverables consist of two integrated components: an Adversarial Malware Generation and Defense (AMGD) curriculum and an AMGD workbench. The curriculum will define a body of knowledge spanning adversarial machine learning,...
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 full retraining or degrading generation quality. The research addresses privacy protection, responsible AI deployment, user control, and long-term model maintenance by creating high-quality multi-concept unlearning methods based on dynamic gradient masking and concept-aware loss functions. The project integrates education and workforce development by incorporating responsible generative AI topics into undergraduate and graduate curricula, engaging K-12 and undergraduate students through accessible research experiences, and broadening participation in trustworthy AI research. Work is performed at the University of Arizona in Tucson, Arizona, with a period of performance from September 1, 2026, through August 31, 2031. The award is classified as a Project Grant.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $500.0k | 7/24/26 |