Project Grant 2310261
- This Project Grant award was provided by the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CFDA 47.070) program. The $600,000 grant, awarded to William Marsh Rice University on October 1, 2023, will support research to systematically investigate the identification and mitigation of "shortcut learning" in deep neural networks (DNNs) from a data-centric perspective. The goal is to develop...
- The National Science Foundation (NSF) awarded a $127,000 Project Grant under the STEM Education program (CFDA 47.076) to the New Jersey Institute of Technology (NJIT) to develop comprehensive educational modules focused on the security of machine learning (ML) models in artificial intelligence (AI) systems. The project aims to create a practice-in-the-loop learning experience for students to understand the security vulnerabilities and solutions for ML in computer vision, speech recognition,...
- The National Science Foundation Division of Undergraduate Education awarded a $1,384,756 project grant to the New Jersey Institute of Technology located in Newark, NJ. The grant is part of the NSF's STEM Education program (CFDA 47.076) and will support the "Applying Student Knowledge for Success in Cybersecurity and Data Science" project through September 30, 2026. The five-year project aims to develop student knowledge and skills in cybersecurity and data science through...
- This $400,000 federal Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to develop a principled and unified mathematical framework for deep learning on low-dimensional data structures. The project aims to bridge the gap between theory and practice of deep learning by designing "white-box" deep neural networks using unrolled optimization schemes to maximize information gain in...
- This $200,000 Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) Federal Grant Program supports research by the New Jersey Institute of Technology (NJIT) to develop novel techniques for analyzing spatial-temporal data in AI-driven Internet of Things (AIoT) systems. The key focus areas of the research include: (i) improving the efficiency of data analysis through novel graph neural network pruning and topology...
- This $500,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE, CFDA 47.070) program supports research by the Regents of the University of California at Riverside to study security vulnerabilities in machine learning (ML) models. The project aims to understand how malicious actors could exploit unused parameters in trained ML models to install additional, potentially harmful functionality without detection. The research...
- The National Science Foundation (NSF) has awarded a $533,995 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Iowa State University of Science and Technology (Iowa State University). The 4-year grant, spanning from October 1, 2023 to September 30, 2027, aims to improve the performance, robustness, generalizability, and efficiency of deep learning models for critical software assurance tasks such as bug detection, debugging, test input...
- This $298,450 National Science Foundation project grant supports research to quantify the error landscape of deep neural networks. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), the awardee New York University will employ statistical mechanics methods to characterize the basins of attraction in high-dimensional parameter spaces of deep learning models. The university will measure basin volume distributions and flatness as a function of network parameters...
- This National Science Foundation Project Grant of $299,181 supports research and education efforts toward opportunistic, fast, and robust in-cache artificial intelligence acceleration at the edge for Internet of Things devices. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), the award to New Jersey Institute of Technology from January 1, 2023 to December 31, 2025 aims to design and deploy new hardware-oriented AI algorithms for efficient image...
- The National Science Foundation (NSF) is providing a $206,382 Project Grant under its Computer and Information Science and Engineering (CISE) program to the Illinois Institute of Technology (IIT) Sponsored Research and Programs Division. The objective of this 5-year award is to design a trustworthy, flexible, and generalizable machine learning framework that can provide robustness against common privacy and security attacks. The project will develop novel information-theoretic representation...
The National Science Foundation (NSF) awarded a $400,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the New Jersey Institute of Technology (NJIT) to investigate the identification and mitigation of shortcut features in deep learning models. The project aims to develop data-centric mechanisms to facilitate the generalization of deep neural networks, which can suffer from poor predictive performance when data distributions change or there are small input disturbances. NJIT, a public polytechnic university, will systematically study shortcut identification and detection at the instance, feature, and task levels, and then perform shortcut mitigation through data augmentation and training regularization. The project will also demonstrate the proposed research innovations in two real medical informatics systems. The award duration is from October 1, 2023, to September 30, 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $400.0k | 8/22/23 |