Project Grant N000141912524

The National Science Foundation (NSF) awarded a $600,000 Project Grant under the Computer and Information Science and Engineering (CISE) program to New York University (NYU) to investigate the risks of AI-generated code in the software supply chain. The 3-year project, which began on June 1, 2024, aims to: (i) develop techniques to distinguish human-written code from AI-generated code, (ii) measure the prevalence and security implications of AI-generated code in open-source software, and (iii)...

The National Science Foundation (NSF) awarded a $1,500,000 Cooperative Agreement under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program to Indiana University to implement artificial intelligence-enabled vulnerability management practices to enhance the safety and security of open-source cloud computing ecosystems. The project, titled "SAFE-OSE: Implementing Artificial Intelligence (AI)-Enabled Vulnerability Management Practices to Enhance Safety and Security of...

This Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program provides $273,383 to Deepbits Technology Inc., a self-certified small disadvantaged business, to develop AI-powered code diffing capabilities to enhance software supply chain security. The project, titled "ReleaseChecker," aims to leverage artificial intelligence and large language models to efficiently analyze differences between software...

This $255,391 National Science Foundation Technology, Innovation, and Partnerships grant funds Anomalee Inc. to develop a commercially viable prototype for certifying deep neural networks against backdoor attacks. Backdoor attacks maliciously poison AI models to misclassify inputs containing hidden trigger patterns. Anomalee's unsupervised method will mathematically evaluate DNNs for such vulnerabilities without examples of poisoned models or access to training data, addressing a critical need...

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...

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 $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...

This Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070), aims to revolutionize artificial intelligence (AI) training through the development of a novel chip architecture called Co-FABPRO (Concurrent Forward and Backward Propagation). The $200,000 award, with a project period from October 1, 2024 to September 30, 2026, seeks to create a disruptive approach that will make AI...

This $232,464 federal Project Grant awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports the development of artificial intelligence (AI)-enabled analytics techniques to identify emerging cyber threat trends and link exploits to vulnerabilities. The funding will enable researchers at Indiana University to create a novel Diachronic Graph Transformer (DGT) model to detect and predict shifting exploit terminology and semantics,...

This $399,998 Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075) supports the development of new online tools to facilitate large-scale behavioral experiments studying interactions between humans and artificial intelligence (AI) agents. The key products to be delivered under this 3-year grant, which runs from September 1, 2025 to August 31, 2028, include: New software tools that integrate with existing behavioral science...