Security and Fairness in Biometric Recognition:  Challenges and Opportunities

Categories: Seminar Series

2-3pm. April 22, 2024 WWH 236. Performance of biometric recognition technology is a key aspect to mitigate security risks while not sacrificing the user’s experience. While algorithm testing has demonstrated the great strides in biometric performance, certification of biometric performance based on full system evaluation including the user interface and presentation attack detection is also needed. Furthermore, recent advances in deep fake detection may include challenge response and other means to resist injection and replay attacks and should be considered in an evaluation. While traditional cybersecurity testing assess resistance to injection attacks, evaluation processes that focus on biometric-based solutions are needed. And finally, with much public attention on performance variation across demographic groups, requirements and evaluation to demonstrate acceptable bias mitigation would provide great value to industry, commercial and government users of the technology, and public as a whole. This talk will cover the current state, challenges and opportunities in these areas.

Dr. Stephanie Schuckers is the Paynter-Krigman Endowed Professor iDr. Stephanie Schuckers is the Paynter-Krigman Endowed Professor in Engineering Science in the Department of Electrical and Computer Engineering at Clarkson University and serves as the Director of the Center for Identification Technology Research (CITeR), a National Science Foundation Industry/University Cooperative Research Center.    She received her doctoral degree in Electrical Engineering from The University of Michigan. Professor Schuckers research focuses on processing and interpreting signals which arise from the human body.  Her work is funded from various sources, including National Science Foundation, Department of Homeland Security, and private industry, among others.  She has started her own business, testified for US Congress, and has over 50 journal publications as well as over 100 other academic publications.  She was named IEEE Fellow in 2023, serves as a Board of Directors for the Biometrics Institute, is Associate Editor-in-Chief for IEEE Transactions on Biometrics, Behavior, and Identity Science and is President-Elect for the IEEE Biometrics Council.  She has volunteered for numerous organizations including the IEEE Biometrics Council and FIDO Alliance.n Engineering Science in the Department of Electrical and Computer Engineering at Clarkson University and serves as the Director of the Center for Identification Technology Research (CITeR), a National Science Foundation Industry/University Cooperative Research Center.    She received her doctoral degree in Electrical Engineering from The University of Michigan. Professor Schuckers research focuses on processing and interpreting signals which arise from the human body.  Her work is funded from various sources, including National Science Foundation, Department of Homeland Security, and private industry, among others.  She has started her own business, testified for US Congress, and has over 50 journal publications as well as over 100 other academic publications.  She was named IEEE Fellow in 2023, serves as a Board of Directors for the Biometrics Institute, is Associate Editor-in-Chief for IEEE Transactions on Biometrics, Behavior, and Identity Science and is President-Elect for the IEEE Biometrics Council.  She has volunteered for numerous organizations including the IEEE Biometrics Council and FIDO Alliance.

Stephanie

Title: Security and Fairness in Biometric Recognition:  Challenges and Opportunities

Abstract: Performance of biometric recognition technology is a key aspect to mitigate security risks while not sacrificing the user’s experience. While algorithm testing has demonstrated the great strides in biometric performance, certification of biometric performance based on full system evaluation including the user interface and presentation attack detection is also needed. Furthermore, recent advances in deep fake detection may include challenge response and other means to resist injection and replay attacks and should be considered in an evaluation. While traditional cybersecurity testing assess resistance to injection attacks, evaluation processes that focus on biometric-based solutions are needed. And finally, with much public attention on performance variation across demographic groups, requirements and evaluation to demonstrate acceptable bias mitigation would provide great value to industry, commercial and government users of the technology, and public as a whole. This talk will cover the current state, challenges and opportunities in these areas.

Dr. Stephanie Schuckers is the Paynter-Krigman Endowed Professor iDr. Stephanie Schuckers is the Paynter-Krigman Endowed Professor in Engineering Science in the Department of Electrical and Computer Engineering at Clarkson University and serves as the Director of the Center for Identification Technology Research (CITeR), a National Science Foundation Industry/University Cooperative Research Center.    She received her doctoral degree in Electrical Engineering from The University of Michigan. Professor Schuckers research focuses on processing and interpreting signals which arise from the human body.  Her work is funded from various sources, including National Science Foundation, Department of Homeland Security, and private industry, among others.  She has started her own business, testified for US Congress, and has over 50 journal publications as well as over 100 other academic publications.  She was named IEEE Fellow in 2023, serves as a Board of Directors for the Biometrics Institute, is Associate Editor-in-Chief for IEEE Transactions on Biometrics, Behavior, and Identity Science and is President-Elect for the IEEE Biometrics Council.  She has volunteered for numerous organizations including the IEEE Biometrics Council and FIDO Alliance.n Engineering Science in the Department of Electrical and Computer Engineering at Clarkson University and serves as the Director of the Center for Identification Technology Research (CITeR), a National Science Foundation Industry/University Cooperative Research Center.    She received her doctoral degree in Electrical Engineering from The University of Michigan. Professor Schuckers research focuses on processing and interpreting signals which arise from the human body.  Her work is funded from various sources, including National Science Foundation, Department of Homeland Security, and private industry, among others.  She has started her own business, testified for US Congress, and has over 50 journal publications as well as over 100 other academic publications.  She was named IEEE Fellow in 2023, serves as a Board of Directors for the Biometrics Institute, is Associate Editor-in-Chief for IEEE Transactions on Biometrics, Behavior, and Identity Science and is President-Elect for the IEEE Biometrics Council.  She has volunteered for numerous organizations including the IEEE Biometrics Council and FIDO Alliance.