This National Science Foundation (NSF) CISE Federal Grant Program (CFDA 47.070) award provides $559,860 to Kansas State University (KSU) to develop an automated framework for assessing the security of training data used in bioinformatics, with a focus on antimicrobial peptides and proteins (AMPs). The project aims to enhance the reliability of computational predictions, reduce the need for costly wet-lab validations, and promote cybersecurity education within the scientific community. Key tasks include model-driven low-quality data filtering and data poisoning vulnerability exploration. The effort will create an open-source dataset on AMP functionality security and an online platform for dataset evaluation and security education. KSU is partnering with Michigan Technological University on a $199,960 sub-award to support this project.
Generated 3/4/25, 7:19 AM