Project Grant 2521383
Award Date 10/1/25
Completion Date 9/30/28
Dollars Obligated $600K
Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Tulsa, OK 74104, USA
Similar Awards
- This $438,871 federal 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) program to The University of Tulsa. The grant aims to address security and ethical challenges in AI-integrated crowdsourcing by: 1) developing trustworthy human-AI collaborative annotation systems that are robust against adversarial attacks, 2) proposing detection strategies to identify misuse of generative AI in...
- This $600,000 Project Grant was awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The project aims to advance the fundamental research on detecting AI-generated fake images by focusing on understanding the generalization capabilities of fake image detectors. Specifically, the project will investigate two main thrusts: (1) understanding the characteristics that make AI-generated images fake, including the role of...
- This federal Project Grant award of $542,462, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, supports a collaborative research project at Georgetown University to develop socio-technical interventions against AI-generated abuse. The research team is conducting technical and content analysis of tools used to create abuse material, leveraging principles from psychological research to deter attackers, and engaging in technical...
- This federal Project Grant award, valued at $450,000.00 and awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to address fundamental computational and statistical limitations of generative artificial intelligence (AI) methods. The key goals of the project are: Determine the capabilities and limitations of generative AI algorithms in terms of the types of probability distributions they can and cannot generate....
- The federal Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program provides $305,000.00 to Beesafe Labs, LLC to develop an automated, scalable intelligence-gathering system capable of intercepting, tracing, and aggregating data on social engineering cyber-attacks. The goal is to create a defensive artificial intelligence technology that can shift the cybersecurity paradigm from reactive damage control to proactive prevention,...
- The National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program awarded a $151,693 Project Grant to Florida International University (FIU) to conduct research on socio-technical interventions against AI-generated abuse. The research team is technically characterizing the current and future ecosystem of online abuse attacks using AI and developing mitigations to make abuse tools harder to access and use, while also decreasing attackers'...
- This federal Project Grant award, valued at $155,000.00, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant supports a collaborative research project led by the Regents of the University of Michigan to develop practical generative AI tools for enhancing the performance of security classifiers used to detect cybersecurity threats. The key focus is on addressing data challenges that often limit the...
- The National Science Foundation (NSF) awarded a $600,000 Project Grant under the Computer and Information Science and Engineering (CISE) program to New York University (NYU) to investigate the risks of AI-generated code in the software supply chain. The 3-year project, which began on June 1, 2024, aims to: (i) develop techniques to distinguish human-written code from AI-generated code, (ii) measure the prevalence and security implications of AI-generated code in open-source software, and (iii)...
- This Project Grant award of $120,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program supports research to advance the mathematical foundations of generative artificial intelligence (AI) models, particularly diffusion models. The award enables researchers at the University of Missouri System to develop new theoretical tools to elucidate how flow-based generative models produce novel outputs and extend these models to...
- This $280,050 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports the University of Washington's collaborative research to develop socio-technical interventions against the growing threat of AI-generated abuse. The project aims to technically characterize the current and future ecosystem of online abuse attacks using AI, and develop mitigations to make abuse tools harder to access and use, as well as reduce...