Project Grant 2523440
- This $193,885 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a privacy-preserving framework for sharing and learning from scarce medical data, specifically focused on videos of tracheostomy-dependent children. The 3-year project, running from October 1, 2025 to September 30, 2028, will establish a comprehensive suite of privacy mechanisms to enable the secure sharing of sensitive video...
- This federal Project Grant award of $599,040.00 was provided by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to Kansas State University. The project, titled "COLLABORATIVE RESEARCH: SATC 2.0: RES: A PRIVACY-PRESERVING FRAMEWORK FOR SHARING AND LEARNING FROM SCARCE MEDICAL DATA", aims to establish a framework for securely sharing sensitive medical data, such as videos of tracheostomy-dependent children, between...
- This Project Grant award from the National Science Foundation (CFDA 47.084 - NSF Technology, Innovation, and Partnerships) provides $129,032.00 to develop methods for auditing and certifying the privacy guarantees of machine learning models trained on sensitive patient data. The research aims to create techniques that allow organizations to safely share these models without compromising individual privacy, in order to advance medical research and scientific discovery, enhance healthcare...
- This $150,000 Project Grant award from the National Science Foundation (CFDA 47.084 - NSF Technology, Innovation, and Partnerships) to Vanderbilt University Medical Center supports the development of methods to enable the safe sharing of machine learning models trained on sensitive healthcare data without compromising individual privacy. The key objectives are to evaluate the privacy properties of shared models, develop techniques for auditing and certifying their privacy guarantees, and provide...
- This Project Grant award from the National Science Foundation's Integrative Activities (CFDA 47.083) program provides $611,959 to Meharry Medical College from September 1, 2024 to August 31, 2027. The project, titled "A Trustworthy and Privacy-Preserving Framework for Latency-Sensitive Video-Enabled Health Incident-Response Applications," aims to develop a novel AI-powered framework for trustworthy and privacy-preserving video analysis to enable rapid emergency response in healthcare...
- This $540,000 federal Project Grant award was made by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) on June 15, 2025 to Emory University. The project, titled "SATC: CORE: SMALL: TOWARD ADVERSARIALLY ROBUST AND PRIVACY-PRESERVING EHR SYSTEMS: DATA COMPLEXITY AND NEW TRAINING PARADIGMS," aims to address adversarial robustness and privacy concerns in modern electronic health record (EHR) systems....
- This $350,000 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 advanced, privacy-preserving generative AI models for anonymizing biometric signals. The project aims to create modular and scalable anonymization methods suitable for both clinical and wearable device bio-signals, which can be customized for diverse demographics and health conditions. This will help preserve...
- This Project Grant award from the National Science Foundation (CFDA 47.084 - NSF Technology, Innovation, and Partnerships) to Virginia Polytechnic Institute & State University supports the development of methods to allow organizations to safely share machine learning models trained on sensitive patient data without compromising individual privacy. The $128,985 project, running from October 2025 to September 2028, aims to create new techniques for auditing models, certifying their privacy...
- The National Science Foundation awarded a $900,000 Project Grant under the Integrative Activities program (CFDA 47.083) to the University of California, Los Angeles (UCLA) to create the first end-to-end provenance framework for medical artificial intelligence (AI) systems. The framework will enable tracing, auditing, and efficient removal of compromised or sensitive data from medical AI models, thereby improving patient privacy, reliability, and trustworthiness of these critical systems. The...
- This Project Grant award of $200,000.00 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program supports the development of a novel multi-camera surveillance system for smart city applications. The project, titled "COLLABORATIVE RESEARCH: CSR: SMALL: ACCURATE AND PRIVATE MULTI-CAMERA SURVEILLANCE SYSTEM ON TIME-SENSITIVE NETWORKS," aims to create a unified framework for advancing smart city infrastructure by leveraging edge...
This $405,917 Project Grant was awarded on October 1, 2025 by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) Federal Grant Program. The grant establishes a framework for securely sharing sensitive medical video data, such as footage of tracheostomy-dependent children, between healthcare providers in a privacy-preserving manner. The project brings together advanced technologies like face identification, video pixelation, and AI-driven text-to-video generation to enable the safe sharing of this data, which is critical for training home monitoring systems but constrained by healthcare privacy laws. The broader significance is that the developed privacy framework can be applied to videos of human subjects across diverse applications like daycare, nursing homes, and prisons. Louisiana State University is the primary awardee on this collaborative research project.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $405.9k | 8/19/25 |