Block Grant W911NF0710061

This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $174,998 to The Trustees of the Stevens Institute of Technology to investigate timing side channels in adaptive neural networks. The project aims to: (1) define a threat model for exploiting timing channels to gain sensitive user information, (2) develop a machine learning-based pipeline to utilize these timing channels, (3) create an...

The Department of Homeland Security (DHS) Science and Technology Directorate awarded a $1,490,000 Project Grant to Moonshot CVE USA Inc. under the Homeland Security, Research, Testing, Evaluation, and Demonstration of Technologies (CFDA 97.108) program. This two-year research program is designed to enhance understanding of the trends, nature, causes, and correlates of terrorism and targeted violence in the United States. The key products and services to be delivered include: 1) a comprehensive...

Through a $199,982.00 Project Grant award from the Department of Energy Office of Science's Financial Assistance Program (CFDA 81.049), Management Sciences Inc., a woman-owned small business, will develop and demonstrate advanced sensor fusion technologies using low-cost sensors. This project aims to reduce the costs of physical security applications, aligning with the program's goals to advance scientific tools and understanding with applications for U.S. energy and economic security. As a...

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 $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, with a total funding of $122,767, supports a research project by the University of California, Berkeley aimed at hardening off-the-shelf software against side channel attacks. The project consists of three main tasks: (1) reverse engineering hardware structures to determine potential attack vectors, (2) designing software transformations to protect against side...

This two-year, $174,900 project grant from the National Science Foundation's Division of Computer and Network Systems will fund research at DePaul University towards developing more accurate vulnerability detection and less disruptive vulnerability mitigation techniques. The goal is to address challenges in reliably finding software vulnerabilities and patching them without compromising system availability. Researchers will design a scheme for encoding intrinsic vulnerability characteristics...

This three-year, $309,811 project grant from the National Science Foundation's Engineering program (CFDA 47.041) will fund research at The Trustees of the Stevens Institute of Technology to develop techniques for improving the resilience of vision-guided unmanned aerial vehicles and other mobile robotic technologies against cyberattacks. The research aims to advance a framework for detecting and responding to stealthy attacks that simultaneously target mission planning, control, perception,...

This Project Grant award from the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083) provides $720,000 in funding to the University of the District of Columbia (UDC) to conduct research on using machine learning and deep learning algorithms for standoff detection of threat chemicals. The project aims to advance the computational techniques for distinguishing explosives and other illicit substances from benign background materials using infrared backscatter...

This Project Grant from the National Science Foundation Office of Integrative Activities, under the Integrative Activities federal grant program (CFDA 47.083), provides $400,000 to North Carolina Agricultural and Technical State University from September 1, 2022 to August 31, 2025. The funding supports research to develop an early warning framework for cyber threats targeting operational technology systems. The framework introduces intelligent interaction decoys that mimic the behavior of...