Project Grant 2346158
- This $150,000 Project Grant, awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), is supporting research on improving anomaly detection techniques for the Internet of Things (IoT). The project aims to address technical gaps in the widespread adoption of novelty detection models by developing methods to generate labeled datasets and enable the transfer of models from controlled lab settings to real-world IoT deployments....
- 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...
- The National Science Foundation awarded a $259,651 project grant to Worcester Polytechnic Institute for collaborative research titled "Tuning-Free Anomaly Detection Service." The grant is part of NSF's Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education in computing, communications, and information science and engineering. Under this three-year award beginning May 1, 2021, Worcester Polytechnic Institute...
- The National Science Foundation awarded a $100,000 Project Grant to the University of California, Merced under the NSF Technology, Innovation, and Partnerships federal grant program (CFDA 47.084) to develop artificial intelligence models for financial fraud detection. Specifically, the university will use tree-based machine learning techniques to create fraud detection software with predictive accuracy exceeding industry standards. The software aims to save banks millions annually by reducing...
- This $117,451 federal Project Grant awarded by the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) supports research to develop novel approaches that can help Public Interest Technology (PIT) organizations deploy data safeguards when building AI systems. The project engages a multi-disciplinary team to conduct ethnographic and computational research on using disclosure limitation techniques, including differential privacy, to...
- This $1,168,047 Cooperative Agreement award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program aims to develop a deeper understanding of the complex problems and needs that drive technology innovation. The project involves: Collecting comprehensive datasets on technical problems, solutions, and organizations across three selected domains; 2) Applying AI/machine learning techniques to analyze this data and identify predictive...
- This federal Project Grant award, provided by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program, supports the development of an open-source ecosystem for rapid and scalable artificial intelligence (AI) application creation. The $320,000 award to the Regents of the University of Michigan will establish a foundation for a sustainable open-source ecosystem around a novel AI development stack designed to address key barriers in deploying...
- The University of South Florida was awarded a $233,000 Project Grant from the National Science Foundation Division of Electrical, Communications and Cyber Systems. The grant supports collaborative research titled "COLLABORATIVE RESEARCH: REAL-TIME DATA-DRIVEN ANOMALY DETECTION FOR COMPLEX NETWORKS" under the NSF Engineering program (CFDA 47.041). The research aims to develop real-time data-driven techniques for anomaly detection in complex networks. The work will leverage large,...
- The University of Chicago received a $149,999 National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program grant (CFDA 47.070) on May 1, 2024. This "COLLABORATIVE RESEARCH: EAGER: CPS: DATA AUGMENTATION AND MODEL TRANSFER FOR THE INTERNET OF THINGS" project aims to address technical gaps in anomaly detection for network management in Internet of Things (IoT) environments. Key objectives include developing techniques to improve novelty detection...
- Purdue University was awarded a $300,000 Project Grant from the National Science Foundation to develop an open-source ecosystem around proactive software supply chain monitoring. Funded through the NSF Technology, Innovation, and Partnerships program (CFDA 47.084), this 12-month project aims to engage stakeholders in emerging applications like artificial intelligence, internet of things, and critical infrastructure to build a sustainable community focused on providing usable security...
The National Science Foundation (NSF) awarded a $1,498,856 Project Grant under its Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) to the University of Illinois to develop an integrated, open-source ecosystem called OpenAD for anomaly detection. The project aims to unify existing open-source anomaly detection systems into a comprehensive platform that supports diverse data types and application domains. Key goals include establishing a standardized development environment, enhancing automation and acceleration tools, and building a vibrant community of developers, researchers, and users. Sub-awards were made to Lehigh University to contribute expertise in trustworthy AI, security, and privacy, and to Emory University and the University of Southern California to lead community outreach and governance activities. The award reflects NSF's mission to advance scientific research, innovation, and solutions to national challenges through open collaboration and tool development.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $1.5m | 6/13/24 |
GrantNumber | Description | Subgrantee | Prime Award | Dollars Obligated | Updated At |
|---|---|---|---|---|---|
2004200S | Lehigh University | Project Grant 2346158 | $126.6k | 9/15/24 | |
2006100S | Emory University | Project Grant 2346158 | $129.8k | 8/25/24 | |
2004300S | University Of Southern California | Project Grant 2346158 | $154.2k | 8/17/24 |