Project Grant 2246157
Award Date
5/1/23
Completion Date
4/30/25
Dollars Obligated
$175K
Federal Agency
Division of Information and Intelligent Systems
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Chicago, IL 60616, USA
Similar Awards
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...
This $207,962 National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) grant awarded to Tufts University on February 1, 2024 will support research to enhance the robustness of artificial intelligence (AI) systems against hardware-oriented vulnerabilities. The project has four main thrusts: Designing algorithm-hardware collaborative backdoor attacks to exploit new adversarial vulnerabilities in deep neural networks. Developing methodologies to incorporate...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) for $224,582 will develop a computational framework that integrates knowledge-driven and data-driven artificial intelligence approaches to recommend effective immunotherapeutic cell designs for cancer treatment. The 5-year project, beginning April 15, 2025, aims to create a fully automated system that extracts knowledge from scientific literature and models signaling...
The University of Illinois was awarded a $460,009 project grant from the National Science Foundation Division of Information and Intelligent Systems to conduct research titled "COLLABORATIVE RESEARCH: CPS: MEDIUM: REAL-TIME CRITICALITY-AWARE NEURAL NETWORKS FOR MISSION-CRITICAL CYBER-PHYSICAL SYSTEMS." The research is being conducted under the NSF's Computer and Information Science and Engineering program (CFDA #47.070), which supports investigator-initiated research and education in...
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 $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 (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) provides $600,000 to the University of Wisconsin System to advance artificial intelligence (AI) through research on deep learning models. The project aims to deepen the understanding of deep learning by exploring vector-valued mappings, compositional function spaces, and transformer architectures. The research will focus on developing novel network architectures,...
This $112,262 CAREER award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program supports research at the University of Chicago to develop reliable and accelerated deep neural networks through hardware-algorithm co-design. The project aims to overcome limitations in existing solutions by creating novel approaches that simultaneously minimize costs and enhance coverage across areas like hardware failure mitigation, fine-grained mixed-precision...
This $349,828 Project Grant was awarded by the National Science Foundation (NSF)'s Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to The Trustees of the University of Pennsylvania. The grant will fund research aimed at developing techniques to ensure trustworthiness and reliability of artificial intelligence (AI) systems that incorporate deep neural networks (DNNs), particularly those used in safety-critical applications. The key objectives are to: Design...
The National Science Foundation Division of Computer and Network Systems awarded a $175,000 Project Grant to the Illinois Institute of Technology under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to support research towards understanding the robustness of graph neural networks against graph perturbations. The two-year award beginning June 1, 2023 will fund the development of both restricted and stringent black-box graph perturbation attacks on graph...