Project Grant 2451168
Award Date
10/1/25
Completion Date
9/30/27
Dollars Obligated
$175K
Federal Agency
Division of Computer and Network Systems
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Columbia, MO 65211, USA
Similar Awards
This Project Grant award of $563,693, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, aims to advance voice conversion models and technologies. The key research areas include: Exploring self-supervised learning of speaker identity and emotion representations to enable robust voice conversion that can faithfully represent individual speech characteristics and emotional states. Investigating voice conversion...
This $749,623 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support the development of a prototype community infrastructure called CISAAD (Community Infrastructure for Advancing Audio Deepfake Detection). The project aims to address challenges around limited data availability and human augmented data for audio deepfake analysis by creating open datasets, enabling both single and multi-speaker...
This Project Grant award from the National Science Foundation's Division of Information and Intelligent Systems (CFDA 47.070 - Computer and Information Science and Engineering) supports research into probing the inner workings of artificial intelligence (AI) systems and comparing them to human cognition during speech recognition. The $50,000 award to the University of Southern California (USC) will fund the development of novel mathematical models and experimental methods to examine how AI...
The National Science Foundation (NSF) awarded a $244,179 Project Grant under the Computer and Information Science and Engineering (CISE) Federal Grant Program to the University of Illinois. The grant, titled "CAREER: Personalized Speech Enhancement: Test-Time Adaptation Using No or Few Private Data," will develop machine learning methods to personalize speech enhancement systems without requiring clean voice data from users, which addresses privacy concerns and enables more...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070), valued at $400,000 and awarded on January 1, 2025, supports a project by Texas A&M University-Corpus Christi (TAMU-CC) to develop an advanced hybrid machine learning pipeline for detecting and analyzing online speech threats. The project aims to enhance the accuracy and reliability of threat detection using large language models (LLMs), understand the dynamics...
This $300,000 National Science Foundation project grant supports research into robust machine learning under sparse adversarial attacks through 2025. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), the University of California, Santa Barbara will develop theoretical frameworks and defense methods to make machine learning models resilient against perturbations affecting few data points. Specifically, the researchers aim to establish fundamental limits of...
This Project Grant award from the National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences, under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), provides $200,000 to San Jose State University Research Foundation to investigate conversational social engineering attacks, known as "vishing", and develop software to detect these attacks in real-time. The key products and services to be delivered under this 4-year award include: Creating two data...
The National Science Foundation (NSF) awarded a $240,000 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to the University of Central Florida (UCF) Board of Trustees Office of Research. The grant supports a 3-year research project to develop a theoretical analysis that sheds light on the robustness of neural network-based methods and the properties of adversarial training. The research aims to contribute to the development of more robust neural network-based...
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 from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) provides $262,900 to Portland State University over the period of October 1, 2023 to September 30, 2025. The goal of this project is to redesign security education curricula to better integrate and leverage the use of large language models (LLMs) in addressing modern cybersecurity challenges. The key objectives are to create new educational content and lab...