| 2026 | NDSS | Understanding the Stealthy BGP Hijacking Risk in the ROV Era. | Yihao Chen, Qi Li, Ke Xu, Zhuotao Liu, Jianping Wu |
| 2026 | NDSS | Enhancing Website Fingerprinting Attacks against Traffic Drift. | Xinhao Deng, Yixiang Zhang, Qi Li, Zhuotao Liu, Yabo Wang, Ke Xu |
| 2026 | NDSS | Achieving Interpretable DL-based Web Attack Detection through Malicious Payload Localization. | Peiyang Li, Fukun Mei, Ye Wang, Zhuotao Liu, Ke Xu, Chao Shen, Qian Wang, Qi Li |
| 2026 | NDSS | A Hard-Label Black-Box Evasion Attack against ML-based Malicious Traffic Detection Systems. | Zixuan Liu, Yi Zhao, Zhuotao Liu, Qi Li, Chuanpu Fu, Guangmeng Zhou, Ke Xu |
| 2026 | SP | Euston: Efficient and User-Friendly Secure Transformer Inference with Non-Interactivity. | Xinwen Gao, Shaojing Fu, Lin Liu, Zhuotao Liu, Yuchuan Luo, Yongjun Wang |
| 2025 | CCS | Training Robust Classifiers for Classifying Encrypted Traffic under Dynamic Network Conditions. | Yuqi Qing, Qilei Yin, Xinhao Deng, Xiaoli Zhang, Peiyang Li, Zhuotao Liu, Kun Sun, Ke Xu, Qi Li |
| 2025 | CCS | MM4flow: A Pre-trained Multi-modal Model for Versatile Network Traffic Analysis. | Luming Yang, Lin Liu, Junjie Huang, Zhuotao Liu, Shiyu Liang, Shaojing Fu, Yongjun Wang |
| 2025 | CCS | RingSG: Optimal Secure Vertex-Centric Computation for Collaborative Graph Processing. | Zhenhua Zou, Zhuotao Liu, Jinyong Shan, Qi Li, Ke Xu, Mingwei Xu |
| 2025 | EMNLP | A Middle Path for On-Premises LLM Deployment: Preserving Privacy Without Sacrificing Model Confidentiality. | Hanbo Huang, Yihan Li, Bowen Jiang, Bo Jiang, Lin Liu, Zhuotao Liu, Ruoyu Sun, Shiyu Liang |
| 2025 | ICDE | Learnable Sparse Customization in Heterogeneous Edge Computing. | Jingjing Xue, Sheng Sun, Min Liu, Yuwei Wang, Zhuotao Liu, Jingyuan Wang |
| 2025 | NSDI | PRED: Performance-oriented Random Early Detection for Consistently Stable Performance in Datacenters. | Xinle Du, Tong Li, Guangmeng Zhou, Zhuotao Liu, Hanlin Huang, Xiangyu Gao, Mowei Wang, Kun Tan, Ke Xu |
| 2025 | SIGCOMM | Pegasus: A Universal Framework for Scalable Deep Learning Inference on the Dataplane. | Yinchao Zhang, Su Yao, Yong Feng, Kang Chen, Tong Li, Zhuotao Liu, Yi Zhao, Lexuan Zhang, Xiangyu Gao, Feng Xiong, Qi Li, Ke Xu |
| 2025 | SP | TrafficFormer: An Efficient Pre-trained Model for Traffic Data. | Guangmeng Zhou, Xiongwen Guo, Zhuotao Liu, Tong Li, Qi Li, Ke Xu |
| 2024 | ACNS | Efficient Clustering on Encrypted Data. | Mengyu Zhang, Long Wang, Xiaoping Zhang, Zhuotao Liu, Yisong Wang, Han Bao |
| 2024 | CCS | Towards Fine-Grained Webpage Fingerprinting at Scale. | Xiyuan Zhao, Xinhao Deng, Qi Li, Yunpeng Liu, Zhuotao Liu, Kun Sun, Ke Xu |
| 2024 | CCS | CoGNN: Towards Secure and Efficient Collaborative Graph Learning. | Zhenhua Zou, Zhuotao Liu, Jinyong Shan, Qi Li, Ke Xu, Mingwei Xu |
| 2024 | IWQoS | NetSentry: Scalable Volumetric DDoS Detection with Programmable Switches. | Junchen Pan, Kunpeng He, Lei Zhang, Zhuotao Liu, Xinggong Zhang, Yong Cui |
| 2024 | NDSS | Pencil: Private and Extensible Collaborative Learning without the Non-Colluding Assumption. | Xuanqi Liu, Zhuotao Liu, Qi Li, Ke Xu, Mingwei Xu |
| 2024 | NDSS | Low-Quality Training Data Only? A Robust Framework for Detecting Encrypted Malicious Network Traffic. | Yuqi Qing, Qilei Yin, Xinhao Deng, Yihao Chen, Zhuotao Liu, Kun Sun, Ke Xu, Jia Zhang, Qi Li |
| 2024 | NSDI | Brain-on-Switch: Towards Advanced Intelligent Network Data Plane via NN-Driven Traffic Analysis at Line-Speed. | Jinzhu Yan, Haotian Xu, Zhuotao Liu, Qi Li, Ke Xu, Mingwei Xu, Jianping Wu |
| 2023 | CCS | martFL: Enabling Utility-Driven Data Marketplace with a Robust and Verifiable Federated Learning Architecture. | Qi Li, Zhuotao Liu, Qi Li, Ke Xu |
| 2023 | CCS | Learning from Limited Heterogeneous Training Data: Meta-Learning for Unsupervised Zero-Day Web Attack Detection across Web Domains. | Peiyang Li, Ye Wang, Qi Li, Zhuotao Liu, Ke Xu, Ju Ren, Zhiying Liu, Ruilin Lin |
| 2023 | ISSTA | iSyn: Semi-automated Smart Contract Synthesis from Legal Financial Agreements. | Pengcheng Fang, Zhenhua Zou, Xusheng Xiao, Zhuotao Liu |
| 2023 | WWW | Provenance of Training without Training Data: Towards Privacy-Preserving DNN Model Ownership Verification. | Yunpeng Liu, Kexin Li, Zhuotao Liu, Bihan Wen, Ke Xu, Weiqiang Wang, Wenbiao Zhao, Qi Li |
| 2023 | SP | Robust Multi-tab Website Fingerprinting Attacks in the Wild. | Xinhao Deng, Qilei Yin, Zhuotao Liu, Xiyuan Zhao, Qi Li, Mingwei Xu, Ke Xu, Jianping Wu |
| 2023 | USENIX | Change Management in Physical Network Lifecycle Automation. | Mohammad Al-Fares, Virginia Beauregard, Kevin Grant, Angus Griffith, Jahangir Hasan, Chen Huang, Quan Leng, Jiayao Li, Alexander Lin, Zhuotao Liu, Ahmed Mansy, Bill Martinusen, Nikil Mehta, Jeffrey C. Mogul, Andrew Narver, Anshul Nigham, Melanie Obenberger, Sean Smith, Kurt Steinkraus, Sheng Sun, Edward Thiele, Amin Vahdat |
| 2022 | CoNEXT | FlowTele: remotely shaping traffic on internet-scale networks. | Bo-Rong Chen, Zhuotao Liu, Jinhui Song, Fanhui Zeng, Zhoushi Zhu, Siva Phani Keshav Bachu, Yih-Chun Hu |
| 2022 | ESORICS | Verifying the Quality of Outsourced Training on Clouds. | Peiyang Li, Ye Wang, Zhuotao Liu, Ke Xu, Qian Wang, Chao Shen, Qi Li |
| 2022 | HOTNETS | DIP: unifying network layer innovations using shared L3 core functions. | Ziqiang Wang, Zhuotao Liu, Xiaoliang Wang, Songtao Fu, Ke Xu |
| 2022 | SIGMOD | Unsupervised Contextual Anomaly Detection for Database Systems. | Sainan Li, Qilei Yin, Guoliang Li, Qi Li, Zhuotao Liu, Jinwei Zhu |
| 2021 | ACSAC | On Detecting Growing-Up Behaviors of Malicious Accounts in Privacy-Centric Mobile Social Networks. | Zijie Yang, Binghui Wang, Haoran Li, Dong Yuan, Zhuotao Liu, Neil Zhenqiang Gong, Chang Liu, Qi Li, Xiao Liang, Shaofeng Hu |
| 2021 | AsiaCCS | Privilege-Escalation Vulnerability Discovery for Large-scale RPC Services: Principle, Design, and Deployment. | Zhuotao Liu, Hao Zhao, Sainan Li, Qi Li, Tao Wei, Yu Wang |
| 2021 | CCS | A Hard Label Black-box Adversarial Attack Against Graph Neural Networks. | Jiaming Mu, Binghui Wang, Qi Li, Kun Sun, Mingwei Xu, Zhuotao Liu |
| 2019 | CCS | HyperService: Interoperability and Programmability Across Heterogeneous Blockchains. | Zhuotao Liu, Yangxi Xiang, Jian Shi, Peng Gao, Haoyu Wang, Xusheng Xiao, Bihan Wen, Yih-Chun Hu |
| 2019 | CCS | DeepIntent: Deep Icon-Behavior Learning for Detecting Intention-Behavior Discrepancy in Mobile Apps. | Shengqu Xi, Shao Yang, Xusheng Xiao, Yuan Yao, Yayuan Xiong, Fengyuan Xu, Haoyu Wang, Peng Gao, Zhuotao Liu, Feng Xu, Jian Lu |
| 2019 | ICDCS | SmartCrowd: Decentralized and Automated Incentives for Distributed IoT System Detection. | Bo Wu, Ke Xu, Qi Li, Zhuotao Liu, Yih-Chun Hu, Zhichao Zhang, Xinle Du, Bingyang Liu, Shoushou Ren |
| 2018 | INFOCOM | Enabling Work-Conserving Bandwidth Guarantees for Multi-Tenant Datacenters via Dynamic Tenant-Queue Binding. | Zhuotao Liu, Kai Chen, Haitao Wu, Shuihai Hu, Yih-Chun Hu, Yi Wang, Gong Zhang |
| 2018 | IWQoS | Enabling Efficient Source and Path Verification via Probabilistic Packet Marking. | Bo Wu, Ke Xu, Qi Li, Zhuotao Liu, Yih-Chun Hu, Martin J. Reed, Meng Shen, Fan Yang |
| 2018 | MASS | SmartRetro: Blockchain-Based Incentives for Distributed IoT Retrospective Detection. | Bo Wu, Qi Li, Ke Xu, Ruoyu Li, Zhuotao Liu |
| 2017 | ICNP | TorPolice: Towards enforcing service-defined access policies for anonymous communication in the Tor network. | Zhuotao Liu, Yushan Liu, Philipp Winter, Prateek Mittal, Yih-Chun Hu |
| 2016 | CCS | MiddlePolice: Toward Enforcing Destination-Defined Policies in the Middle of the Internet. | Zhuotao Liu, Hao Jin, Yih-Chun Hu, Michael D. Bailey |
| 2012 | MOBIHOC | Transmission delay in large scale ad hoc cognitive radio networks. | Zhuotao Liu, Xinbing Wang, Wentao Luan, Songwu Lu |