Our Research
Advancing robust AI: Federated learning, intrusion detection, and privacy-preserving techniques
Welcome to SPRAI Lab
Delve in to AI security research
Join Us
Find Openings below to join the lab
About
SPRAI Lab focuses on the research of Trustworthy AI Systems
We dedicate to enhancing the security and privacy of AI systems, and applying advanced machine learning/deep learning methods to solve problems in security applications. The research interests of SPRAI Lab include federated learning, network intrusion detection, adversarial machine learning, differential privacy, and large language models.
Openings
Multiple PhD Openings (with assistantship)
I am looking for self-motivated students with research interests in any area of cybersecurity or the intersection of AI and security. If this opportunity interests you, reach out to me (ningw `at` usf.edu), providing your resume and any supplementary material that will help me gain insight into your academic background and research expertise.
Selected Papers
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News from
the Lab
- March 2024 [New Member] Sudharshan Balaji joined our group
- January 2024 [New Member] Zhengyuan Jiang Joined our group
- August 2023 [Selected Paper] our paper MINDFL: Mitigating the Impact of Imbalanced and Noisy-Labeled Data in Federated Learning with Quality and Fairness-Aware Client Selection’ is accepted by IEEE Military Communications Conference (MILCOM 2023)
- August 2023 [Start] Dr. Ning Wang joined the CSE department and formed the SPRAI lab