This $207,962 National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) grant awarded to Tufts University on February 1, 2024 will support research to enhance the robustness of artificial intelligence (AI) systems against hardware-oriented vulnerabilities. The project has four main thrusts: Designing algorithm-hardware collaborative backdoor attacks to exploit new adversarial vulnerabilities in deep neural networks. Developing methodologies to incorporate...
This $499,828 Project Grant award from the National Science Foundation's STEM Education (CFDA 47.076) program will support the University of Wisconsin-Madison in formalizing the concept of "threat perception" (TP) in software development, measuring and assessing students' TP, and designing educational interventions to improve TP among undergraduate computer science students. The project aims to develop a mechanistic model of TP based on constructivist learning theory, analyze how...
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...
The National Science Foundation (NSF) awarded a Project Grant totaling $248,011 to Worcester Polytechnic Institute (WPI) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) with a start date of March 1, 2024 and an end date of February 28, 2029. The award supports research to develop technologies that can secure electronic computing hardware against sophisticated physical attacks along the microelectronics supply chain. The key focus areas...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) will fund a $1,200,000 project to develop practical, systematic fuzzing tools that enhance the security of scientific software. The 3-year project, led by the University of Utah, aims to address vulnerabilities in complex, multi-language scientific software by introducing (1) performant cross-language instrumentation, (2) automated...
This Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $190,321 to the University of Illinois to advance modeling and analysis of risks in complex technological systems. The project aims to (A) enhance modeling of potential risks by integrating technical, human, and organizational factors, (B) apply new socio-technical risk analysis methods to diverse industry and regulatory settings, and (C) develop an...
This $636,487 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop a holistic framework for securing the continuous software development process. The project, led by the University of Delaware, will investigate emerging software supply chain threats and create effective mitigation strategies. Key components include: Developing a comprehensive security testing system to analyze critical...
The University of Utah received a $220,500 Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). This 5-year award, beginning March 1, 2024, supports research to develop scalable security testing techniques for large software systems. The project focuses on advancing "fuzzing" - a predominant software vulnerability detection method - to address the unique challenges posed by software...
The National Science Foundation (NSF) awarded a $329,183 Project Grant to the College of William & Mary under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant, awarded on October 1, 2023, will fund the development of a framework and methodology to enable researchers and software engineers to better interpret the behavior of AI-powered developer tools that leverage neural language models for source code. The project aims to generate global and local...
This $261,304 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program funds a collaborative research project to design secure quantum computing systems from the ground up. The project focuses on studying fundamental security vulnerabilities and developing remediation techniques for existing and upcoming fault-tolerant quantum computers. The research aims to enable the secure and confidential use of scarce quantum...