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PROFESSORS IN PRIVACY-PRESERVING MACHINE LEARNING

Showing page 1 of 1 — 10 professors available publicly

Abbas Yazdinejad

Abbas Yazdinejad

Federated Unlearning Privacy-Preserving Machine Learning Quantum Machine Learning (QML)

Dr. Yazdinejad’s research lies at the intersection of cybersecurity and artificial intelligence, with a focus on decentralized and privacy-preserving learning systems for security-critical infrastructures. His interests include AI-driven threat detection and threat hunting, fed...

Nektaria Tryfona

Nektaria Tryfona

Resilient Machine Learning Privacy-Preserving Machine Learning Data Management for Data-Intensive Environments

Nektaria Tryfona is a Collegiate Associate Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech, based at the Virginia Tech Research Center in Arlington, Virginia. She earned her Ph.D., M.Sc., and B.Sc. from the University of Patras, Greece....

Ni Trieu

Ni Trieu

secure computation private set intersection private database queries

I am an Assistant Professor of computer science at Arizona State University. My research interests are in the area of cryptography and security, with a specific focus on secure computation and its applications such as private set intersection, private database queries, and privac...

Mengdi Huai

Mengdi Huai

trustworthy machine learning explainable AI robust machine learning

I am currently an assistant professor in the Department of Computer Science at Iowa State University. I obtained my Ph.D. in Computer Science from the University of Virginia, where I was supervised by Prof. Aidong Zhang. My research interests are in the general areas of machine l...

Ahmed Aleroud

Ahmed Aleroud

Adversarial Machine Learning Privacy-Preserving Machine Learning Social Engineering Cyber Attacks

Dr. Ahmed Aleroud is an Associate Professor of Cyber Security Analytics at Augusta University. Prior to joining Augusta University, he served as a Visiting Associate Research Scientist and Postdoctoral Fellow at the University of Maryland, Baltimore County, and as an Associate Pr...

Caroline Trippel

Caroline Trippel

RISC-V ISA Memory Consistency Model Formal Methods for Hardware Verification Security Vulnerabilities in Microarchitectures

Caroline Trippel is an Assistant Professor in the Computer Science and Electrical Engineering Departments at Stanford University working in the area of computer architecture. Prior to starting at Stanford, Trippel spent nine months as a Research Scientist at Facebook in the FAIR ...

Shagufta Mehnaz

Shagufta Mehnaz

security and privacy in machine learning adversarial machine learning privacy-preserving machine learning

I am an Assistant Professor in the Department of Computer Science and Engineering at The Pennsylvania State University. My research interests are at the intersection of security, privacy, and machine learning. I received the NSF CAREER Award from the National Science Foundation (...

Lydia Zakynthinou

Lydia Zakynthinou

Differential Privacy Privacy-Preserving Machine Learning Robustness in Learning Algorithms

Lydia Zakynthinou is an assistant professor in the Department of Computer Science and a member of the Johns Hopkins Data Science and AI Institute. She works on the theoretical foundations of trustworthy and reliable machine learning and statistics. Her research focuses on deve...

Xinyue Zhang

Xinyue Zhang

Privacy-Preserving Machine Learning Quantum Computing for Cybersecurity Cybersecurity Protocols

Dr. Xinyue Zhang is an Assistant Professor in the Department of Computer Science at Kennesaw State University. Her research interests are in cybersecurity, privacy-preserving machine learning, and quantum computing. Her professional efforts have been recognized by prestigious con...

Emily (Shuya) Feng

Emily (Shuya) Feng

Privacy-Preserving Machine Learning Differential Privacy Large Language Model Security

Emily (Shuya) Feng is an Assistant Professor in the Department of Computer Science at the University of Alabama at Birmingham, starting in August 2025. Dr. Feng's research addresses fundamental challenges in AI security and privacy, encompassing privacy-preserving machine lea...