Rui Duan (段锐), Ph.D. Candidate,
Electrical Engineering / Florida Center for Cybersecurity, University of South Florida (USF).
4202 E. Fowler Avenue, Tampa, FL 33620.
Email: ruiduan@usf.edu
Starting in August 2024, I will be an assistant professor of Computer Science at the University of Missouri - Kansas City (UMKC).
Multiple Ph.D. openings are available in our group. Welcome Self-motivated students who have - strong interests in trustworthy ML & AI, IoT designing, and human-computer interaction to join us.
Bio
Rui Duan is a Ph.D. candidate in the Department of Electrical Engineering, University of South Florida advised by Dr. Zhuo Lu in the CSA lab. His research is centered on the intersection of Adversarial Machine Learning, AI, and ML. He is especially interested in understanding and mitigating adversarial audio attacks in real-world applications and their impact on humans. In addition to his primary focus, his research is also related to Network Security and the Internet of Things.
Publications
Perception-Aware Attack against Music Copyright Detection: Impacts and Defenses
Rui Duan, Zhe Qu, Shangqing Zhao, Leah Ding, Yao Liu and Zhuo Lu.
(Major Revision) in IEEE TDSC
Parrot-Trained Adversarial Examples: Pushing the Practicality of Black-Box Audio Attacks against Speaker Recognition Models
Rui Duan, Zhe Qu, Leah Ding, Yao Liu and Zhuo Lu.
Guessing on Dominant Paths: Understanding the Limitation of Wireless Authentication Using Channel State Information
Zhe Qu, Rui Duan, Xiao Han, Shangqing Zhao, Yao Liu, and Zhuo Lu.
IEEE S&P 2024 | paper
How to Prevent the Poor Performance Clients for Personalized Federated Learning?
Zhe Qu, Xingyu Li, Xiao Han, Rui Duan, Chengchao Shen, and Lixing Chen.
IEEE/CVF CVPR 2023 | paper
Perception-Aware Attack: Creating Adversarial Music via Reverse-Engineering Human Perception
Rui Duan, Zhe Qu, Shangqing Zhao, Leah Ding, Yao Liu and Zhuo Lu.
ACM CCS 2022 | paper | demo | talk
Generalized Federated Learning via Sharpness Aware Minimization
Zhe Qu, Xingyu Li, Rui Duan, Yao Liu, Bo Tang and Zhuo Lu.
ICML 2022 | paper
Context-Aware Online Client Selection for Hierarchical Federated Learning
Zhe Qu, Rui Duan, Lixing Chen, Jie Xu, Zhuo Lu, Yao Liu.
IEEE TPDS | paper
Low-cost influence-limiting defense against adversarial machine learning attacks in cooperative spectrum sensing
Zhengping Luo, Shangqing Zhao, Rui Duan, Zhuo Lu, Yalin E Sagduyu and Jie Xu.
WiseML 2021 | paper
Context-Aware Online Client Selection for Hierarchical Federated Learning
Zhe Qu, Rui Duan, Lixing Chen, Jie Xu, Zhuo Lu, Yao Liu.
IEEE TPDS | paper
Low-cost influence-limiting defense against adversarial machine learning attacks in cooperative spectrum sensing
Zhengping Luo, Shangqing Zhao, Rui Duan, Zhuo Lu, Yalin E Sagduyu and Jie Xu.
WiseML 2021 | paper
Bookchapter:
Understanding the Ineffectiveness of the Transfer Attack in Intrusion Detection System
Rui Duan, Wenwei Zhao, Zhengping Luo, Ning Wang, Yao Liu, and Zhuo Lu.
In Springer Book Series Network Security Enpowered by Artificial Intelligence
Research Highlights
[NDSS'24] Parrot-training Attack against IoT Devices
▪️🔊Using the most limited attack knowledge to spoof commercial speaker recognition models
[CCS'22] Music Copyright Attack against YouTube