معرفی
Amina Bassit is a Researcher in the Department of Computer Science and Engineering at Michigan State University's College of Engineering. Her work focuses on secure biometric systems, cryptographic protocols, and information security. She contributes to advancing privacy-preserving technologies in authentication and identification applications.
Her research emphasizes encrypted biometric recognition, homomorphic encryption, and adversarial attack mitigation. Key areas include template protection, secure search algorithms, and compliance with international standards like ISO/IEC 24745. She also explores practical implementations of biometric systems for real-world applications such as digital travel credentials.
Recent contributions include studies on multiplication-free encryption methods for efficiency, remote cancelable biometric systems, and analyzing adversarial transferability across machine learning models. Her work bridges theoretical advancements with practical deployment challenges in cybersecurity and AI security domains.
Though no specific awards or grants are listed, her prolific publication record (2021-2025) reflects sustained engagement in high-impact research. She collaborates on interdisciplinary projects at the intersection of computer science, cryptography, and applied machine learning.
