Project Grant 2613388
- Federal Grant Award Summary The University of Illinois received a $600,000 Project Grant award from the National Science Foundation's Office of Integrative Activities (CFDA 47.083) on August 1, 2025, for the AICYBERLAKE project, with performance concluding July 31, 2028. The project curates a comprehensive security data lake by aggregating cyberattack data from the DELTAAI system at the National Center for Supercomputing Applications and peer supercomputing centers. The resulting platform...
- Federal Grant Award Summary The National Science Foundation's Office of Advanced Cyberinfrastructure awarded $199,853 to the University of Illinois (Board of Trustees) under the Computer and Information Science and Engineering (CFDA 47.070) program on March 1, 2026, for the REDTEAM (Research Environment Defense Through Expert Attack Modeling) project. The grant funds the development of research security frameworks through scenario-based tabletop exercises and red teaming methodologies. The...
- This CAREER award of $369,693 from the National Science Foundation's Division of Information and Intelligent Systems (Computer and Information Science and Engineering program, CFDA 47.070) supports a five-year research initiative (October 1, 2025 – September 30, 2030) at Virginia Polytechnic Institute & State University to develop an advanced cybersecurity defense framework leveraging large language models (LLMs). The project addresses critical vulnerabilities in current threat detection...
- Federal Project Grant Award Summary Duke University's Office of Research Administration received a $220,000 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) beginning October 1, 2025 and concluding September 30, 2029. This collaborative research initiative addresses critical cybersecurity vulnerabilities in large language model (LLM)-integrated...
- Federal Grant Award Summary The National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) awarded $150,000 to the University of California, Berkeley on October 1, 2025, for a collaborative research project titled "Securing LLMs Against Prompt Injection Attacks." The four-year project (completion September 30, 2029) will deliver systematic research and defensive technologies addressing security vulnerabilities in large language model...
- 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...
- Federal Project Grant Award Summary The University of Illinois received a $300,000 project grant award from the National Science Foundation's Division of Information and Intelligent Systems (CFDA 47.070 – Computer and Information Science and Engineering program) effective September 1, 2025, through August 31, 2027. This EAGER (Early-concept Grants for Exploratory Research) award supports research and development of a structure-guided reasoning framework designed to enhance Large Language Model...
- The University of Illinois was awarded a $483,610 Project Grant from the National Science Foundation Division of Computer and Network Systems under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will fund research from January 1, 2022 through December 31, 2024 to develop defenses for deception of smartphone software applications for users with disabilities. The Computer and Information Science and Engineering program supports...
- Federal Grant Award Summary The University of Illinois received a $128,067 Project Grant from the National Science Foundation (NSF) Technology, Innovation, and Partnerships program (CFDA 47.084) awarded October 1, 2025, with completion targeted for September 30, 2027. Under this PDASP Track 1 initiative, the university is developing privacy-preserving cryptographic protocols and techniques for graph-based intrusion detection systems that enable collaborative cyberattack detection across multiple...
- Federal Project Grant Award Summary The National Science Foundation's Division of Computer and Network Systems awarded a $400,000 Project Grant to Brown University under the Computer and Information Science and Engineering (CFDA 47.070) program, effective October 1, 2026 through September 30, 2030. This collaborative research initiative, titled "AIGIS: Securing the Deep Learning Model Supply Chain," develops methods and tools to verify the trustworthiness of pre-trained artificial...
Grant Award Summary The National Science Foundation (NSF) Office of Advanced Cyberinfrastructure awarded $900,000 to the University of Illinois under the Computer and Information Science and Engineering (CFDA 47.070) program for a three-year project (September 1, 2026 – August 31, 2029) to develop an adaptive cyber deception framework powered by large language models (LLMs) for scientific cyberinfrastructure security operations centers. The project delivers a technological solution designed to enhance security defenses across high-performance computing environments, research portals, and collaborative data platforms. The framework generates context-aware deceptive interactions, automatically adjusts decoys and honeypots based on observed adversary behavior, and converts deception-generated evidence into actionable threat intelligence for security analysts and automated response systems. The deliverables include an operationalized cyber deception system to be deployed and evaluated with the National Center for Supercomputing Applications, along with publications, open-source tools, and new undergraduate and graduate course modules in cybersecurity. The project integrates advances in cybersecurity, machine learning, and computer systems to reduce analyst workload while strengthening the resilience of scientific research infrastructure. By making research outputs available through multiple channels—peer-reviewed publications, freely available software tools, and educational curriculum—the award supports both the immediate cybersecurity needs of the scientific research community and longer-term workforce development in cybersecurity professions.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $900.0k | 6/3/26 |