Dr. Rui Duan is an Assistant Professor in the Department of Computer Science and Information Technology at the University of Missouri-Kansas City (UMKC). He leads the SAIM Lab (Secure AI & Intelligent Media) at the UMKC, focusing on trustworthy and human-centered multimedia AI. His research has been supported by the NSF, from which he received the CRII award in 2025. Dr. Duan received his Ph.D. degree from the University of South Florida advised by Dr. Zhuo Lu. His research is centered on the intersection of AI Security and Machine Learning. He has published some notable conference papers in top-tier Security and ML conferences including ACM CCS, NDSS, IEEE S&P, IEEE/CVF CVPR, and ICML. In addition to his primary focus, his research is also related to Network Security and the Internet of Things.

📄 Audio Jailbreak Attacks: Exposing Vulnerabilities in SpeechGPT in a White-Box Framework

  Binhao Ma, Hanqing Guo, Zhengping Jay Luo, Rui Duan.

  IEEE/IFIP International Conference on Dependable Systems and Networks (DSN workshop), 2025

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📄 Perception-Aware Attack against Music Copyright Detection: Impacts and Defenses

  Rui Duan, Zhe Qu, Shangqing Zhao, Leah Ding, Yao Liu and Zhuo Lu.

  IEEE Transactions on Dependable and Secure Computing (TDSC)

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📄 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.

  Proceedings of the 40th Annual Network and Distributed System Security Symposium (NDSS), 2024.

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📄 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.

 Proceedings of the 45th IEEE Symposium on Security and Privacy (S&P), 2024.

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📄 How to Prevent the Poor Performance Clients for Personalized Federated Learning?

  Zhe Qu, Xingyu Li, Xiao Han, Rui Duan, Chengchao Shen, and Lixing Chen.

      Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

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📄 Perception-Aware Attack: Creating Adversarial Music via Reverse-Engineering Human Perception

  Rui Duan, Zhe Qu, Shangqing Zhao, Leah Ding, Yao Liu and Zhuo Lu.

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security (CCS), 2022.

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📄 Generalized Federated Learning via Sharpness Aware Minimization

Zhe Qu, Xingyu Li, Rui Duan, Yao Liu, Bo Tang and Zhuo Lu.

Proceedings of the 39th International Conference on Machine Learning (ICML), 2022.

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