Project Grant 2426026

Award Date 10/1/24
Completion Date 9/30/27
Dollars Obligated $592K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Penn State University, PA 16802, USA
Similar Awards
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, with a CFDA number of 47.070, provides $379,224 to The Pennsylvania State University (Penn State) from July 2025 to June 2030. The project aims to develop better methods for assessing privacy risks in machine learning (ML) models trained on tabular data, which are commonly used in privacy-sensitive domains like healthcare and finance. The key products and...
This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) provides $600,000 to The Pennsylvania State University from October 1, 2022 to September 30, 2025. The university will develop interpretable machine learning methods based on deep neural networks from a source coding perspective. Researchers will draw an analogy between explaining complex prediction models and transmitting signals with limited channel capacity. The...
This Project Grant award, titled "CAREER: CERTIFIED EXPLANATIONS FOR TRUSTWORTHY ARTIFICIAL INTELLIGENCE", was provided by the National Science Foundation (NSF) through its Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The $119,764 award, granted on June 1, 2025, aims to develop a new paradigm of explainable AI systems with provable assurances to increase trust in high-stakes AI applications, such as in medical, scientific, and...
This $599,411 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 a "Trustworthy Toolbox for Double-Correct Predictive Modeling in Sciences." The project aims to create advanced artificial intelligence (AI) and machine learning (ML) models that can make accurate predictions while also providing transparent, scientifically-grounded rationales for their outputs. This...
The Trustees of the University of Pennsylvania received a $392,992 Project Grant from the National Science Foundation Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support research and education activities aimed at developing machine learning techniques that break through the fairness-accuracy tradeoff paradigm. Specifically, the university researchers will draw on ideas from learning theory and...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop a cybersecurity training program focused on large language models (LLMs) and their integration into advanced cyberinfrastructure (CI) systems. The $250,000 award to The Pennsylvania State University (Penn State) will fund the creation of 8 core training modules to prepare undergraduate and graduate students nationwide to identify,...
The National Science Foundation (NSF) awarded a $582,031 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) to the Regents of the University of Michigan, doing business as the University of Michigan. The grant will fund a 5-year research project focused on "Achieving Explainable Artificial Intelligence (AI) Through Human-AI Interaction." The goal of the project is to develop new scientific knowledge and design guidelines for delivering...
This $546,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support research at the Pennsylvania State University (Penn State) to advance trustworthy, human-centered summarization capabilities utilizing large language models. The research aims to develop novel summarization techniques that incorporate fine-grained user preferences, address fairness and bias, and honor human knowledge. The...
This Project Grant award of $600,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a security-focused framework to protect collaborative scientific computing in machine learning as a service (MLaaS) environments. The key research thrusts of the project include: Robust model protection techniques to hinder reverse engineering of machine learning models while preserving their utility. Behavioral monitoring...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $524,981 to Northeastern University to develop novel methods and tools for investigating and defending against machine learning (ML) poisoning attacks on cyber networks. The project aims to create explanation-based ML and generative modeling techniques to identify stealthy poisoning attacks against supervised, semi-supervised, and...

This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) provides $592,294 to The Pennsylvania State University to develop secure, robust, and end-user driven prediction-aware counterfactual explanations (CFEs) for machine learning (ML) models. The 3-year project aims to address key limitations of current CFE techniques, including the potential for intellectual property theft, inability to handle model updates, and lack of stakeholder feedback integration. The research will leverage techniques from adversarial ML, bi-level optimization, deep learning, game theory, and security to create new CFE algorithms and an interactive smartphone application to enhance the usability of prediction-aware CFE systems. This effort supports NSF's mission to advance knowledge and education in science and engineering while promoting fair and transparent use of technology, with potential impacts across domains like agriculture, healthcare, and more.

Generated 6/24/25, 4:00 AM