Miguel Guirao Aguilera

PhD Student, Department of Computer Science, NMSU (2019 - Current)

Biography

Miguel Antonio Guirao Aguilera is a research assistant at New Mexico State University whose work focuses on advancing the security and reliability of machine learning systems. His research spans adversarial machine learning and the privacy challenges inherent in deploying ML-as-a-Service, where he explores innovative frameworks to validate inference results at low cost. His recent contributions include co-authoring work presented at the 19th ACM Asia Conference on Computer and Communications, demonstrating a generative framework that helps ensure ML systems perform reliably even in adversarial settings.

Miguel's interdisciplinary approach combines a strong foundation in computer science with a keen awareness of ethical and security implications, positioning him at the forefront of research that bridges theoretical insights with practical applications. He collaborates with his lab mates in the NSOL lab to continuously contribute to the dialogue on secure ML deployment and data integrity. Outside the lab, Miguel is passionate about fostering critical discourse on technology ethics and innovation, making him a valued member of both the academic and broader research communities at NMSU. He is also a Program Organizer for the Crypto and Privacy Village at the DEFCON Conference.

Research Interests

Adversarial Machine Learning, Machine Learning, Large Language Models, RAG Systems Security

Contact Info

Phone: +1-(575) 646 3723
Office: SH 174, Science Hall, NMSU, Las Cruces, NM, 88003