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...
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 Project Grant award, funded by the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports research to improve the identification of fraudulent online accounts and narratives. The $125,000 grant, awarded on July 1, 2024, will fund the development of AI techniques to detect inauthentic accounts and harmful narratives across multiple online platforms, including text, images, and videos. The research team aims to create an...
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...
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 $400,000.00, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The award is titled "CISE MSI: RCBP: III: ADVANCING SPEECH DETECTION: A HYBRID APPROACH USING LARGE LANGUAGE MODELS AND GRAPH NEURAL NETWORKS" and aims to develop an advanced hybrid machine learning pipeline to enhance the analysis and detection of threatening online speech,...
This Project Grant award from the National Science Foundation's Division of Information and Intelligent Systems (CFDA 47.070 - Computer and Information Science and Engineering) supports research into probing the inner workings of artificial intelligence (AI) systems and comparing them to human cognition during speech recognition. The $50,000 award to the University of Southern California (USC) will fund the development of novel mathematical models and experimental methods to examine how AI...
This $448,129 Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of inclusive speech recognition technologies for underrepresented American language dialects and variants. The research will create training datasets, primarily optimized for speech-to-text, for three sociolinguistic contexts: a sociolect, a code-switching language context, and an indigenous language. This community-driven,...
This $599,999 project grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will develop a human-centered AI framework to accurately assess the integrity of information related to the COVID-19 pandemic. The key products and services to be delivered include: Developing a deep text-visual alignment approach to construct a multimodal COVID-19 knowledge graph. Creating a logic-oriented crowdsourcing interface for...
This $400,000 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program will fund research to advance digital forensics capabilities for analyzing attacks on shared machine learning models. The key objectives are to: (1) develop and deploy forensic tools for reconstructing HDF5 model files, (2) evaluate data injection and detection methods in HDF5, and (3) design an approach for tracing AI model provenance. This work aims to...