This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $225,000 to Michigan State University aims to develop a user-centered platform for digital content integrity. The project, titled "Collaborative Research: REDDDOT Phase 2: A User-Centered Platform for Digital Content Integrity," seeks to protect the integrity of digital content and maintain public trust in the face of threats posed by advanced generative AI...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) of $150,000 provides funding for a 3-year collaborative research project titled "REDDOT Phase 2: A User-Centered Platform for Digital Content Integrity." The project aims to develop an integrated digital content forensics platform to detect and mitigate the impact of deepfakes, leveraging a user-centered design process. Key deliverables include integrating...
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 Project Grant award of $400,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will fund research to advance digital forensics techniques for artificial intelligence (AI) systems. The project aims to: (1) develop forensic tools for reconstructing and analyzing HDF5 machine learning model files, (2) evaluate data injection and detection methods for HDF5 models, and (3) design a systematic approach for "AI...
This National Science Foundation (NSF) Project Grant award under the STEM Education (CFDA 47.076) program provides $210,000.00 to develop a lab-based curriculum and open-source platform for training students, the current workforce, and policymakers on watermarking techniques to detect AI-generated content. The objective is to bridge the education gap on this emerging technology, which is critical for addressing societal and legal concerns around the potential misuse of generative AI. The...
This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program totaling $491,955 will fund research to develop a self-learning and self-evolving system for detecting altered and deceptive images and videos. The goal is to design an intelligent detector capable of assessing digital visual content integrity and automatically identifying falsified images or videos in real time to prevent their spread. The award to Vanderbilt University from...
This $749,623 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support the development of a prototype community infrastructure called CISAAD (Community Infrastructure for Advancing Audio Deepfake Detection). The project aims to address challenges around limited data availability and human augmented data for audio deepfake analysis by creating open datasets, enabling both single and multi-speaker...
This Project Grant award of $250,000 from the National Science Foundation (NSF) Division of Social and Economic Science was provided to the Massachusetts Institute of Technology (MIT) to conduct research exploring methods for signaling to human users when a video has been manipulated or entirely constructed using deepfake technology. The key products and services to be delivered under this 3-year grant include: Assessing the effectiveness of three different methods for visually alerting users...
This Project Grant award, totaling $200,000.00, is funded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The award will support a collaborative research project focused on designing secure account management tools and frameworks to improve personal account security and foster safer digital ecosystems for people facing targeted attacks. The key objectives of the research are to: 1) gain a better understanding of the...
This $130,000 Project Grant awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research and educational initiatives led by Clarkson University's Center for Identification Technology Research (CITER). The grant focuses on addressing challenges in establishing, confirming, and protecting individual identities through advancements in biometrics, digital identity management, and mitigating the impacts of...