📄ScrambleMark: Zero-Query Watermark-Agnostic Black-Box Evasion of Modern Speech Watermarking

  Binhao Ma, Weikang Ding, Hanqing Guo, Wenwei Zhao, Xiaowen Li, Leah Ding, Zhuo Lu, Rui Duan.

  Proceedings of the 48th IEEE Symposium on Security and Privacy (S&P), 2027

📄Learning to Evade: Adaptive Attacks on Audio Watermarking

  Weikang Ding, Hanqing Guo, Rui Duan, Guangjing Wang, Yuanda Wang, Mingzhe Chen, Qiben Yan.

  Proceedings of Interspeech, 2026

📄 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, 2025

📄 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.

  | paper | demo | Bib

📄 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.

| paper | Bib

📄 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.

| paper | Bib

📄 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.

| paper | demo | talk | Bib

📄 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.

| paper | Bib

📄 Context-Aware Online Client Selection for Hierarchical Federated Learning

       Zhe Qu, Rui Duan, Lixing Chen, Jie Xu, Zhuo Lu, Yao Liu.

      Proceedings of the IEEE Transactions on Parallel and Distributed Systems (TPDS)

 | paper | Bib

📄 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.

 Proceedings of the ACM Workshop on Wireless Security and Machine Learning (WiseML), 2021

 | paper | Bib

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