This Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $775,000 to the Rochester Institute of Technology (RIT) to develop a user-centered platform for digital content integrity. The project aims to protect the integrity of digital content and maintain public trust in the face of rapid advancements in generative artificial intelligence (AI) that enable the creation and manipulation of high-quality...
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 Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $225,000 to Michigan State University (MSU) to develop a user-centered platform for digital content integrity. The project aims to protect the integrity of digital content and maintain public trust by integrating multiple digital content forensic tools into a single platform. This will empower users to reliably detect and mitigate the...
This $600,000 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program aims to advance the generalization capabilities of fake image detectors. The grant will fund a research, education, and outreach program to gain a deeper understanding of what makes AI-generated images fake and how to develop universal fake image detection algorithms. The key products and services to be delivered include: Developing a novel...
This $100,000 Project Grant award from the National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports the development of tools to enable the automated identification of fraudulent online material. The key products and services being delivered through this 3-year project include: Robust stance detection techniques powered by large language models to precisely identify fraudulent online content and raise awareness of its context Multi-modal...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) provides $150,000 to The University of Mississippi to develop a user-centered platform for detecting and mitigating the impact of deepfakes and other AI-generated digital content. The project, titled "COLLABORATIVE RESEARCH: REDDDOT PHASE 2: A USER-CENTERED PLATFORM FOR DIGITAL CONTENT INTEGRITY," aims to create an integrated digital content forensics...
The Massachusetts Institute of Technology (MIT) received a $750,000 Project Grant award from the National Science Foundation (NSF) Office of Integrative Activities to support the NSF Convergence Accelerator Track F: Adapting and Scaling Existing Educational Programs to Combat Inauthenticity and Instill Trust in Information program. Under the award, MIT will deliver projects from October 1, 2021 to September 30, 2022 to enhance education programs aimed at building resilience against the spread of...
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 National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program grant awarded to Swarthmore College provides $173,053 to systematically document and devise solutions to mitigate harms from deepfake imagery, particularly for underserved communities. The 2-year research project will take an innovative, community-centric approach to augmenting cybersecurity and privacy in the face of advanced generative AI technologies. The project will collaborate closely...
The National Science Foundation awarded a $217,000 project grant under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) to the University of North Carolina at Charlotte. The grant supports a collaborative research project to enhance information integrity and combat misinformation in the digital age. The key products and services to be delivered include: Analyzing and identifying social norm emergence and tipping points in public dialogue on controversial issues. Uncovering...