Project Grant 2549995
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of a learner-centered artificial intelligence (AI) co-pilot tool to crowd-source the curation of comprehensive cybersecurity attack artifacts. The $299,999 award to the Rochester Institute of Technology (RIT) aims to leverage large language models and techniques like prompt engineering to guide users in emulating end-to-end...
- The National Science Foundation (NSF) awarded a $155,258 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of South Alabama. The grant funds a project titled "CRII: SATC: TEMPORAL ECLECTIC RULE EXTRACTION (TERE) AND RULE EXTRACTION OPTIMIZATION STRATEGIES FOR EXPLAINABLE INTRUSION DETECTION SYSTEMS (X-IDS)." The project aims to develop a novel explainable artificial intelligence (XAI) technique to improve the transparency...
- This $520,000 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program investigates security and privacy vulnerabilities in embedding-based AI systems. The project, titled "SATC: CORE: SMALL: SECURING EMBEDDINGS," will tackle security issues related to the fundamental building blocks of modern AI - embeddings that convert data into mathematical vector representations. The research will focus on defending...
- This Project Grant award, titled "COLLABORATIVE RESEARCH: SATC: CORE: SMALL: EVALUATING THE SECURITY LANDSCAPE OF MACHINE LEARNING ENABLED ELECTRONIC DESIGN AUTOMATION", was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The $180,000 award will support research at Arizona State University (ASU) from October 1, 2025 to September 30, 2028. The project will comprehensively assess...
- This Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to develop a cybersecurity training program to educate undergraduate and graduate students on identifying, analyzing, and mitigating various attack vectors targeting large language model (LLM)-powered advanced cyberinfrastructure (CI) systems. The $249,956 award, with a performance period from August 1, 2025 to July 31, 2028,...
- This $155,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research to enhance the performance of machine learning-based security classifiers by addressing data challenges. The project aims to develop generative AI methods to create synthetic data for network and application security tasks, in order to overcome issues with unbalanced training datasets and evolving cyberthreats. The two-year award to...
- The National Science Foundation (NSF) awarded a $371,449 Project Grant under the STEM Education (CFDA 47.076) program to the Rochester Institute of Technology (RIT) to integrate cybersecurity education into existing computing curricula. The project will design and develop a set of ready-to-use Identity and Access Management (IAM)-themed software course projects, as well as supporting course modules and active learning activities. At least 10 faculty members from multiple institutions will...
- The National Science Foundation (NSF) awarded a $600,000 Project Grant under the Integrative Activities program (CFDA 47.083) to the University of Illinois for the "AICYBERLAKE" project. This 3-year award, effective August 1, 2025, will fund the curation of a security data lake to support evaluations of real-world AI-driven cyberattack detection models for safeguarding the U.S. supercomputing infrastructure. The project aims to provide researchers with a longitudinal dataset on...
- This $320,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program is focused on developing practical generative AI methods to enhance the performance of security classifiers used to detect cyberthreats. The project aims to address challenges with obtaining sufficient training data for these classifiers by creating synthetic but useful data using generative AI techniques. Key products and services to be delivered...
- This National Science Foundation Project Grant of $349,276 supports research at Worcester Polytechnic Institute to develop innovative machine learning and natural language processing techniques for automated analysis of documentation related to networked systems security. Funded under the NSF's Computer and Information Science and Engineering program (CFDA 47.070), the project aims to leverage documentation sources like specifications, developer guides, and other materials to discover security...
This Project Grant award, titled "CRII: SATC: TOWARDS DATA-EFFECTIVE AND COST-EFFICIENT SECURITY ATTACK DETECTIONS", was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The award, totaling $117,019.00, was made to the Rochester Institute of Technology on August 15, 2025 and is scheduled for completion on February 28, 2026. The primary objectives of this project are to explore new approaches to build data-driven cyber-attack detection systems that can effectively learn from limited or biased cyber data sets in a cost-efficient manner. The research will investigate techniques such as cross-modal adversarial reprogramming and scalable semi-supervised learning to enhance the data-driven security attack detection infrastructure and create open-source systems to facilitate real security applications. The project aims to provide research opportunities for both undergraduate and graduate students in the area of AI/ML-enabled cyber defense, ultimately contributing to a more secure and trustworthy cyberspace.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $117.0k | 9/16/25 |