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Join Us!
I am looking for highly motivated and self-driven students. If you are interested in intelligent security and privacy techniques, send an email for Ph.D. or Master positions!
About Me
I received my Bachelor degree in computer science from Nanjing University in Jul. 2016. I obtained my Ph.D. degree under the supervision of Prof. Fengyuan Xu at Nanjing University in Dec. 2021.
From Feb. 2022, I have joined MObile Systems & Security (MOSS) research group, which is affiliated with the COSEC Research Center of NJU and the National Key Lab for Novel Software Technology. We enjoy working on projects to create an immersive, trustworthy, compassionate, and sustainable computing environment for individual, society, and ecology.
My research interests primarily include Data Trust, Data-driven Security, and Mobile AI. Specifically,
- Implement joint hardware-software design to ensure the fairness, security, and privacy of data sharing. (e.g., MM2024, ICASSP2023, TMC, WWW2021, MobiCom2021)
- Employ data-driven approaches to detect, audit, and fix security issues in intelligent software and distributed systems. (e.g., TIFS2024, MM2024, MM2023, TrustCom2022, SANER2022, 计算机研究与发展2022)
- Construct interesting, efficient, and secure mobile AI systems. (e.g., TKDD, ICRA2024, ICASSP2024, SIGIR2023, ICASSP2022, MobiSys2020)
Preprints
LLM for Code
- Attention Is All You Need for LLM-based Code Vulnerability Localization. paper
Streaming Video Understanding
- StreamMind: Unlocking Full Frame Rate Streaming Video Dialogue through Event-Gated Cognition. paper
- Making Every Frame Matter: Continuous Activity Recognition in Streaming Video via Adaptive Video Context Modeling. paper
Data Security
- Training Data Attribution: Was Your Model Secretly Trained On Data Created By Mine? paper
- FLiP: Privacy-Preserving Federated Learning based on the Principle of Least Privileg. paper
Selected Publications (chronological order)
2025
- Xing Su, Hanzhong Liang, Hao Wu, Ben Niu, Fengyuan Xu, and Sheng Zhong. DiSCo: Towards Decompiling EVM Bytecode to Source Code using Large Language Models ACM International Conference on the Foundations of Software Engineering (FSE 2025).
- Xiao Li, Yue Li, Hao Wu, Yue Zhang, Kaidi Xu, Xiuzhen Cheng, Sheng Zhong, and Fengyuan Xu. Make a Feint to the East While Attacking in the West: Blinding LLM-Based Code Auditors with Flashboom Attacks. IEEE Symposium on Security and Privacy (S&P 2025).
2024
- Lizhi Sun, Jingzhou Zhu, Boyu Chang, Yixin Xu, Bo Yang, Hao Wu, Fengyuan Xu, and Sheng Zhong. TTFL: Towards Trustworthy Federated Learning with Arm Confidential Computing. IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom 2024).
- Shimao Xu, Xiaopeng ke, and Hao Wu. CAPter: Controllable Data Privacy Enhancement for Deep Learning Inference Services. IEEE International Conference on Ubiquitous Intelligence and Computing (UIC 2024).
- Shucheng Li, Jingzhou Zhu, Boyu Chang, Hao Wu, Fengyuan Xu, and Sheng Zhong. Multi-Label and Evolvable Dataset Preparation for Web-Based Object Detection. ACM Transactions on Knowledge Discovery from Data (TKDD).
- Hao Wu, Yuhang Gong, Xiaopeng Ke, Hanzhong Liang, Fengyuan Xu, Yunxin Liu, and Sheng Zhong. TIM: Enabling Large-scale White-box Testing on In-App Deep Learning Models. IEEE Transactions on Information Forensics and Security (TIFS).
- Hao Wu, Likun Zhang, Shucheng Li, Fengyuan Xu, and Sheng Zhong. CoAst: Validation-Free Contribution Assessment for Federated Learning based on Cross-Round Valuation. ACM Multimedia (MM 2024). paper
- Han Gao, Yating Liu, Fang Cao, Hao Wu, Fengyuan Xu, and Sheng Zhong. VIDAR: Data Quality Improvement for Monocular 3D Reconstruction through In-situ Visual Interaction. IEEE International Conference on Robotics and Automation (ICRA 2024). paper
- Han Gao, Hao Wu, Peiwen Dong, Yixin Xu, Fengyuan Xu, and Sheng Zhong. MuSR: Multi-Scale 3D Scenes Reconstruction based on Monocular Video. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024). paper
2023
- Shucheng Li, Runchuan Wang, Hao Wu, Sheng Zhong, and Fengyuan Xu. SIEGE: Self-Supervised Incremental Deep Graph Learning for Ethereum Phishing Scam Detection. ACM International Conference on Multimedia (MM 2023). paper
- Shucheng Li, Boyu Chang, Bo Yang, Hao Wu, Sheng Zhong, and Fengyuan Xu. Dataset Preparation for Arbitrary Object Detection: An Automatic Approach based on Web Information in English. ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023). paper
- Hao Wu, Bo Yang, Xiaopeng Ke, Siyi He, Fengyuan Xu, and Sheng Zhong. GAPter: Gray-box Data Protector for Deep Learning Inference Services at User Side. 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023, Oral). paper
2022
- Lizhi Sun, Shuocheng Wang, Hao Wu, Yuhang Gong, Fengyuan Xu, Yunxin Liu, Hao Han, and Sheng Zhong. LEAP: TrustZone Based Developer-Friendly TEE for Intelligent Mobile Apps. IEEE Transactions on Mobile Computing (TMC). paper
- Ligeng Chen, Zhongling He, Hao Wu, Yuhang Gong, and Bing Mao. AVMiner: Expansible and Semantic-Preserving Anti-Virus Labels Mining Method. The 21st IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom 2022). paper
- Xiaopeng Ke, Boyu Chang, Hao Wu, Fengyuan Xu, and Sheng Zhong. Towards Practical and Efficient Long Video Summary. 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022). paper
- 吴昊, 王浩, 苏醒, 李明昊, 许封元, 仲盛. 自动驾驶系统中视觉感知模块的安全测试. 计算机研究与发展 2022. paper
- Ligeng Chen, Zhongling He, Hao Wu, Fengyuan Xu, Yi Qian, and Bing Mao. DIComP: Lightweight Data-Driven Inference of Binary Compuler Provenance with High Accuracy. 2022 International Conference on Software Analysis, Evolution, and Reengineering (SANER 2022).Paper
2021
- Hao Wu, Xuejin Tian, Yuhang Gong, Xing Su, Minghao Li, and Fengyuan Xu. DAPter: Preventing User Data Abuse in Deep Learning Inference Services. The 30th Web Conference (WWW 2021). paper slides
- Hao Wu, Xuejin Tian, Minghao Li, Yunxin Liu, Ganesh Ananthanarayanan, Fengyuan Xu, and Sheng Zhong. PECAM: Privacy-Enhanced Video Streaming & Analytics via Securely-Recoverable Transformation. The 27th Annual International Conference On Mobile Computing And Networking (MobiCom 2021). paper slides
2020
- Hao Wu, Jinghao Feng, Xuejin Tian, Edward Sun, Yunxin Liu, Bo Dong, Fengyuan Xu, and Sheng Zhong. EMO: Real-Time Emotion Recognition from Single-Eye Images for Resource-Constrained Eyewear Devices. 18th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys 2020). paper slides
Awards
- MSR Asia StarTrack Scholars 2024 program
- 中文信息学会 优秀博士学位论文
- ACM SIGBED（中国）优博
- 江苏省计算机学会优秀博士学位论文
- 南京大学计算机科学与技术系优秀博士论文
- “紫金山英才”栖霞先锋计划高层次创新创业人才
Fundings
- 2025-2029, NSFC重点项目, 任务负责人
- 2024-2026, NSFC青年科学基金, 云边端融合下隐私增强的高可用智能计算协同技术，主持
- 2023-2024, NSFC基金，任务负责人
- 2022-2025, 国家重点研发计划项目，子课题负责人
- 2022,CCF-华为胡杨林基金, 面向隐私计算的边缘协同训练新范式研究，主持
- 2022-2025, 江苏省青年基金, 端边协同的移动智能计算中的支撑技术研究，主持
Academic Services
- ACM SIGBED中国 委员
- 中文信息学会 大数据安全与隐私计算专委会 委员
- 中文信息学会 青年工作委员会 委员
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CCF系统软件专业委员会 委员
- IEEE TMC Reviewer
- IEEE MSN 2023 TPC
- IEEE MASS 2024 TPC
- IEEE ICDCS 2024 TPC
- EAI ICECI 2024 Web Chair