Overview

I am interested in developing secure software systems with theoretical security / privacy guarantee and practical performance. My recent work has focused on data security (e.g., encrypted databases, multi-party encrypted analytics, proofs of remote storage, etc.), AI systems and security (e.g., red teaming for LLM, federated (un)learning, robust reinforcement learning, etc.), privacy-enhancing technologies (e.g., encrypted messaging and metadata privacy, anonymous communications, encrypted network middleboxes, etc.), blockchain and decentralised applications (e.g., decentralized storage auditing, on-chain/off-chain interoperability, consensus designs, etc.), and software security and systems (e.g., hardware-assisted security, anti-fuzzing techniques, boosting performance of deep learning clusters, etc.). Please refer to the following links and the group website for more details.

Selected Publications (Full List)

Listed in reverse chronological order (by venue date within each year).

• NSDI'27 MANTA: Unlocking DAG Flexibility in Asynchronous BFT. The 24th USENIX Symposium on Networked Systems Design and Implementation (NSDI'27), 2027.
  Mohan Yu, Chenlin Wu, Jianyu Niu, Cong Wang, and Chenyuan Wu.
• CCS'26 Penetrating the Reality Wall: Long-Range and Through-Wall AR/VR Privacy Eavesdropping via Wireless Power Side Channel. The 33rd ACM Conference on Computer and Communications Security (CCS'26), Hague, Netherlands, November 2026.
  Tao Ni, Zehua Sun, Yihe Zhou, Yuefeng Du, Qingchuan Zhao, and Cong Wang.
• CCS'26 From Snapshot to Snooping: An Empirical Study on Geolocation Privacy Leakage in Large Vision Language Models. The 33rd ACM Conference on Computer and Communications Security (CCS'26), Hague, Netherlands, November 2026.
  Yihe Zhou, Tao Ni, Qingchuan Zhao, and Cong Wang.
• Middleware'26 SmartSched: Fine-Grained and Deterministic Parallel Execution for Smart Contracts. The 26th ACM/IFIP International Middleware Conference (Middleware'26), 2026.
  Hang Feng, Cong Wang, Lei Wu, and Yajin Zhou.
• USENIX Security'26 Adversarial Patch EXterminator: Zero-Shot and Patch-Agnostic Defense Framework Against Adversarial Patch Attacks. The 35th USENIX Security Symposium (USENIX Security'26), Baltimore, MD, USA, August 2026.
  Jiayimei Wang, Tao Ni, Guowen Xu, Qingchuan Zhao, and Cong Wang.
• USENIX Security'26 Exploiting PoH Time Semantics in Solana via Re-Anchoring and Forking. The 35th USENIX Security Symposium (USENIX Security'26), Baltimore, MD, USA, August 2026.
  Quanbi Feng, Pinshen Xu, Jianyu Niu, Cong Wang, and Yinqian Zhang.
• VLDB'26 Doppio: Communication-Efficient and Secure Multi-Party Shuffle Differential Privacy. Proceedings of the VLDB Endowment (PVLDB); VLDB 2026, August 2026.
  Wentao Dong, Yang Cao, Cong Wang, and Wei-Bin Lee.
• ICML'26 STARE: Step-wise Temporal Alignment and Red-teaming Engine for Multi-modal Toxicity Attack. The 43rd International Conference on Machine Learning (ICML'26), 2026.
  Xutao Mao, Liangjie Zhao, Tao Liu, Xiang Zheng, Hongying Zan, and Cong Wang.
• ICML'26 Just Ask: Curious Code Agents Reveal System Prompts in Frontier LLMs. The 43rd International Conference on Machine Learning (ICML'26), 2026.
  Xiang Zheng, Yutao Wu, Hanxun Huang, Yige Li, Xingjun Ma, Bo Li, Yu-Gang Jiang, and Cong Wang.
• ICML'26 LMCleaner: Efficient and Certified Online Unlearning via Influence Propagation Truncation. The 43rd International Conference on Machine Learning (ICML'26), 2026.
  Jie Xu, Zihan Wu, Wenbo Pan, Jiao Yin, Yong-Feng Ge, Hua Wang, Cong Wang, and Xiaohua Jia.
• SIGMETRICS'26 Shedding Light on Shadows: Automatically Tracing Illicit Money Flows on EVM-Compatible Blockchains. ACM SIGMETRICS 2026. (Best Paper Award Runner-Up, 5/81)
  Yicheng Huo, Yufeng Hu, Yajin Zhou, Ting Yu, Lei Wu, and Cong Wang.
• S&P'26 ARES: Scalable and Practical Gradient Inversion Attack in Federated Learning through Activation Recovery. The 47th IEEE Symposium on Security and Privacy (S&P/Oakland'26), San Francisco, CA, USA, May 18-21, 2026.
  Zirui Gong, Leo Yu Zhang, Yanjun Zhang, Viet Vo, Tianqing Zhu, Shirui Pan, and Cong Wang.
• S&P'26 When VR Meets BCI: (Un)Observable Brainwave-aware Privacy Reconstruction in the Metaverse via Unrestricted Inbuilt Motion Sensors. The 47th IEEE Symposium on Security and Privacy (S&P/Oakland'26), San Francisco, CA, USA, May 18-21, 2026.
  Tao Ni, Zehua Sun, Qingchuan Zhao, Wei-Bin Lee, and Cong Wang.
• S&P'26 PrintSpy: Pixel-Level Eavesdropping on Commodity Laser Printers via Electromagnetic Side Channels. The 47th IEEE Symposium on Security and Privacy (S&P/Oakland'26), San Francisco, CA, USA, May 18-21, 2026.
  Wenhao Li, Jiarong Yang, Mingda Han, Xiuzhen Cheng, Pengfei Hu, and Cong Wang.
• ICDE'26 HYDRA: Breaking the Global Ordering Barrier in Multi-BFT Consensus. The 42nd IEEE International Conference on Data Engineering (ICDE'26), Montréal, Canada, May 2026.
  Hanzheng Lyu, Shaokang Xie, Jianyu Niu, Mohammad Sadoghi, Yinqian Zhang, Cong Wang, Ivan Beschastnikh, and Chen Feng.
• INFOCOM'26 PrivTune: Efficient and Privacy-Preserving Fine-Tuning of Large Language Models via Device-Cloud Collaboration. The 45th IEEE International Conference on Computer Communications (INFOCOM'26), 2026.
  Yi Liu, Weixiang Han, Chengjun Cai, Xingliang Yuan, and Cong Wang.
• INFOCOM'26 O-TSN: Enabling Oblivious Traffic Switch for Time-Sensitive Networking. The 45th IEEE International Conference on Computer Communications (INFOCOM'26), 2026.
  Bo Zhang, Helei Cui, Cong Wang, Xingliang Yuan, Zhiwen Yu, and Bin Guo.
• FnT P&S Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety. Foundations and Trends in Privacy and Security, 2026.
  Xingjun Ma, Yifeng Gao, Yixu Wang, Ruofan Wang, Xin Wang, Ye Sun, Yifan Ding, Hengyuan Xu, Yunhao Chen, Yunhan Zhao, Hanxun Huang, Yige Li, Yutao Wu, Jiaming Zhang, Xiang Zheng, Yang Bai, Zuxuan Wu, Xipeng Qiu, Jingfeng Zhang, Yiming Li, Xudong Han, Haonan Li, Jun Sun, Cong Wang, Jindong Gu, Baoyuan Wu, Siheng Chen, Tianwei Zhang, Yang Liu, Mingming Gong, Tongliang Liu, Shirui Pan, Cihang Xie, Tianyu Pang, Yinpeng Dong, Ruoxi Jia, Yang Zhang, Shiqing Ma, Xiangyu Zhang, Neil Gong, Chaowei Xiao, Sarah Erfani, Tim Baldwin, Bo Li, Masashi Sugiyama, Dacheng Tao, James Bailey, and Yu-Gang Jiang.
• arXiv'26 Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses. arXiv preprint arXiv:2605.02900, 2026.
  Xiao Li, Xiang Zheng, Yifeng Gao, Xinyu Xia, Yixu Wang, Xin Wang, Ye Sun, Yunhan Zhao, Ming Wen, Jiayu Li, Zixing Chen, Xun Gong, Yi Liu, Yige Li, Yutao Wu, Cong Wang, Jun Sun, Yixin Cao, Zhineng Chen, Jingjing Chen, Tao Gui, Qi Zhang, Zuxuan Wu, Xipeng Qiu, Xuanjing Huang, Tiehua Zhang, Zhipeng Wei, Kun Wang, Xinfeng Li, Hanxun Huang, Sarah Erfani, James Bailey, Jianping Wang, Chaowei Xiao, Ran He, Bo Li, Xingjun Ma, and Yu-Gang Jiang.
• USENIX Security'25 ALERT: Machine Learning-Enhanced Risk Estimation for Databases Supporting Encrypted Queries. The 34th USENIX Security Symposium (USENIX Security'25), Seattle, WA, USA, August 13–15, 2025, pp. 7623–7641.
  Longxiang Wang, Lei Xu, Yufei Chen, Ying Zou, and Cong Wang.
• USENIX Security'25 H2O2RAM: A High-Performance Hierarchical Doubly Oblivious RAM. The 34th USENIX Security Symposium (USENIX Security'25), Seattle, WA, USA, August 13–15, 2025.
  Leqian Zheng, Zheng Zhang, Wentao Dong, Yao Zhang, Ye Wu, and Cong Wang.
• SIGCOMM'25 Scaling SCIERA: A Journey Through the Deployment of a Next-generation Network. Proceedings of the ACM SIGCOMM 2025 Conference, pp. 720–741, 2025.
  François Wirz, Marten Gartner, Jelte van Bommel, Elham Ehsani Moghadam, Grace H. Cimaszewski, Anxiao He, Yizhe Zhang, Henry Birge-Lee, Felix Kottmann, Cyrill Krähenbühl, Jonghoon Kwon, Kyveli Mavromati, Liang Wang, Daniel Bertolo, Marco Canini, Buseung Cho, Ronaldo A. Ferreira, Simon Peter Green, David Hausheer, Junbeom Hur, Xiaohua Jia, Heejo Lee, Prateek Mittal, Omo Oaiya, Chanjin Park, Adrian Perrig, Jerry Sobieski, Yixin Sun, Cong Wang, and Klaas Wierenga.
• NDSS'25 Ring of Gyges: Accountable Anonymous Broadcast via Secret-Shared Shuffle. The 32nd Network and Distributed System Security Symposium (NDSS'25), San Diego, CA, USA, February 2025.
  Wentao Dong, Peipei Jiang, Huayi Duan, Cong Wang, Lingchen Zhao, and Qian Wang.
• NDSS'25 Non-intrusive and Unconstrained Keystroke Inference in VR Platforms via Infrared Side Channel. The 32nd Network and Distributed System Security Symposium (NDSS'25), San Diego, CA, USA, February 2025.
  Tao Ni, Yuefeng Du, Qingchuan Zhao, and Cong Wang.
• WWW'25 FedMobile: Enabling Knowledge Contribution-aware Multi-modal Federated Learning with Incomplete Modalities. The Web Conference (WWW'25), pp. 2775–2786, 2025.
  Yi Liu, Cong Wang, and Xingliang Yuan.
• AAAI'25 CALM: Curiosity-Driven Auditing for Large Language Models. The 39th AAAI Conference on Artificial Intelligence (AAAI'25), pp. 27757–27764, 2025.
  Xiang Zheng, Longxiang Wang, Yi Liu, Xingjun Ma, Chao Shen, and Cong Wang.
• AISTATS'25 LMEraser: Large Model Unlearning via Adaptive Prompt Tuning. The 28th International Conference on Artificial Intelligence and Statistics (AISTATS'25), 2025.
  Jie Xu, Zihan Wu, Cong Wang, and Xiaohua Jia.
• INFOCOM'25 SenFEED: Dynamic Decentralized Oracle Services for Accurate and Real-Time Sensor Data. The 44th IEEE International Conference on Computer Communications (INFOCOM'25), 2025.
  Hao Zeng, Helei Cui, Cong Wang, Bo Zhang, Zhiwen Yu, and Bin Guo.
• ICDCS'25 HarDTAPE: Hardware Dedicated Trusted transAction Pre-Executor. The 45th IEEE International Conference on Distributed Computing Systems (ICDCS'25), 2025.
  Sirui He, Zhibo Sun, Yuan Chen, Yajin Zhou, and Cong Wang.
• MM'24 Arondight: Red Teaming Large Vision Language Models with Auto-generated Multi-modal Jailbreak Prompts. The 32nd ACM International Conference on Multimedia (MM'24), Melbourne, 28 October–1 November, 2024.
  Yi Liu, Chengjun Cai, Xiaoli Zhang, Xingliang Yuan, and Cong Wang.
• VLDB'24 SWAT: A System-Wide Approach to Tunable Leakage Mitigation in Encrypted Data Stores. 50th International Conference on Very Large Databases (VLDB'24), Guangzhou, China, August 26-30, 2024.
  Leqian Zheng, Lei Xu, Cong Wang, Sheng Wang, Yuke Hu, Zhan Qin, Feifei Li, and Kui Ren.
• KDD'24 BadSampler: Harnessing the Power of Catastrophic Forgetting to Poison Byzantine-robust Federated Learning. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'24), Barcelona, 25-29 August, 2024.
  Yi Liu, Xingliang Yuan, and Cong Wang.
• IJCAI'24 Constrained Intrinsic Motivation for Reinforcement Learning. The 33rd International Joint Conference on Artificial Intelligence (IJCAI'24), Jeju, Korea, Aug 03-09, 2024.
  Xiang Zheng, Xingjun Ma, Chao Shen, and Cong Wang.
• DSN'24 Toward Evaluating Robustness of Reinforcement Learning with Adversarial Policy. The 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN'24), Brisbane, Australia, June 24-27, 2024.
  Xiang Zheng, Xingjun Ma, Shengjie Wang, Xinyu Wang, Chao Shen, and Cong Wang.
• CCS'23 Leakage-Abuse Attacks Against Forward and Backward Private Searchable Symmetric Encryption. The 30th ACM Conference on Computer and Communications Security (CCS'23), Copenhagen, Denmark, November 26-30, 2023.
  Lei Xu, Leqian Zheng, Chengzhi XU, Xinliang Yuan, and Cong Wang.
• USENIX Security'23 MorFuzz: Fuzzing Processor via Runtime Instruction Morphing enhanced Synchronizable Co-simulation. The 32nd USENIX Security Symposium (USENIX Security 2023), Anaheim, CA, August 9-11, 2023.
  Jinyan Xu, Yiyuan Liu, Sirui He, Haoran Lin, Yajin Zhou, and Cong Wang.
• CSUR A Survey of Blockchain Consensus Protocols. ACM Computing Surveys, vol. 55, no. 13s, pp. 1–35, 2023.
  Jie Xu, Cong Wang, and Xiaohua Jia.
• CCS'22 Vizard: A Metadata-hiding Data Analytics System with End-to-End Policy Controls. The 29th ACM Conference on Computer and Communications Security (CCS'22), Los Angeles, USA, November 7-12, 2022.
  Chengjun Cai, Yichen Zang, Cong Wang, Xiaohua Jia, and Qian Wang.
• USENIX Security'22 Teacher Model Fingerprinting Attacks Against Transfer Learning. The 31st USENIX Security Symposium (USENIX Security'22), Boston, MA, USA, August 10-12, 2022.
  Yufei Chen, Chao Shen, Cong Wang, and Yang Zhang.
• USENIX Security'22 SGXLock: Towards Efficiently Establishing Mutual Distrust Between Host Application and Enclave for SGX. The 31st USENIX Security Symposium (USENIX Security'22), Boston, MA, USA, August 10-12, 2022.
  Yuan Chen, Jiaqi Li, Guorui Xu, Yajin Zhou*, Zhi Wang, Cong Wang, and Kui Ren.
• NeurIPS'22 Amplifying Membership Exposure via Data Poisoning. The 36th Conference on Neural Information Processing Systems (NeurIPS), 29 Nov–1 Dec, Virtual, 2022.
  Yufei Chen, Chao Shen, Cong Wang, and Yang Zhang.
• INFOCOM'22 The Right to be Forgotten in Federated Learning: An Efficient Realization with Rapid Retraining. The 41st IEEE Conference on Computer Communications (INFOCOM'22), Virtual, May 2-5, 2022.
  Yi Liu, Lei Xu, Xingliang Yuan, Cong Wang, and Bo Li.
• CCS'19 LightBox: Full-stack Protected Stateful Middlebox at Lightning Speed. The 26th ACM Conference on Computer and Communications Security (CCS'19), London, UK, November 11-15, 2019.
  Huayi Duan, Cong Wang, Xingliang Yuan, Yajin Zhou, Qian Wang, and Kui Ren.

Patents

• Cong Wang, Chengjun Cai, and Yichen Zang. "Data Analytics System and Its Operation". US Patent, granted, Patent No.: US12,625,976. May 12, 2026.
• Cong Wang, Xinyu Wang, and Yuefeng Du. "Secure Web Enclave". US Patent, granted, Patent No.: US11,586,726. Feb 21, 2023.
• Cong Wang, Yifeng Zheng, Chengjun Cai, "System and Method for Processing Data and Managing Information", US Patent, granted, Patent No.: US11,580,417. Feb 14, 2023.
• Cong Wang, Helei Cui, and Huayi Duan, "Method for Accelerating Execution of Application in a Trusted Execution Environment", US Patent, granted, Patent No.: US11,392,724. Jul 19, 2022.
• Cong Wang, Xingliang Yuan, and Chengjun Cai, "An Electronic Storage System and A Method of Data Management", US Patent, granted, Patent No.: US11,170,114. Nov 09, 2021.
• Cong Wang, Sarana Nutanong, Xingliang Yuan, Xinyu Wang, and Chenyun Yu, "Systems and Methods for Privacy-assured Similarity Joins over Encrypted Datasets", US Patent, granted, Patent No.: US10,496,638. Dec 03, 2019.
• Xingliang Yuan, Yu Guo, Xinyu Wang, and Cong Wang, "Method for Operating a Distributed Key-Value Store", US Patent, granted, Patent No.: US10,476,662. Nov 12, 2019.
• Kurt Partridge, Ersin Uzun, Cong Wang, and Manas Pathak, "Privacy-Preserving Behavior Targeting for Digital Coupons", US patent, granted US8874485 B2, Oct 28, 2014. Online at http://www.google.com/patents/US8874485.
• Manas Pathak, Richard Chow, Elaine Shi, and Cong Wang, "Privacy-preserving Collaborative Filtering", US Patent, granted US8478768 B1, Jul 2, 2013. Online at https://www.google.com/patents/US8478768.

Group Members

Current Students

• PhD students: Sirui He (2021.09~), Longxiang Wang (2023.09~), Shengchen Lin (2024.09~), Pinshen Xu (2025.09~), Xutao Mao (2026.09~).

Research Staff

• Yufei Chen, Research Assistant Professor (RAP).
• Jianyu Niu, Research Fellow.
• Yuefeng Du, Postdoc.
• Yi Liu, Postdoc.
• Xiaoyue Ma, Postdoc.
• Hongwei Yao, Postdoc.
• Tianpei Lu, Postdoc.

CityU Alumni (Full List)

• Xingliang Yuan, PhD, 2016, first employment: Lecturer (Assistant professor), Monash University, Australia; now Associate Professor, The University of Melbourne, Australia.
• Jinghua Jiang, PhD, 2017, first employment: Senior engineer, Baidu Shenzhen, China.
• Chengcheng Dai, PhD, 2017, first employment: Research engineer, Huawei Hangzhou, China.
• Yu Zhang (Leo Yu Zhang), Postdoc, 2016~2017, current employment: Senior Lecturer, Griffith University, Australia.
• Zhenkui Shi, PhD, 2018, first employment: Lecturer, Guangxi Normal University, China.
• Helei Cui, PhD, 2018, first employment: Senior Research Associate, City University of Hong Kong; now Full Professor at Northwestern Polytechnical University, China.
• Yifeng Zheng, PhD, 2019, first employment: Postdoctoral Fellow at CSIRO Data61, Sydney, Australia; now Assistant Professor at The Hong Kong Polytechnic University, Hong Kong.
• Yu Guo, PhD, 2019, first employment: Postdoc, City University of Hong Kong; now Associate Professor at Beijing Normal University, China.
• Lei Xu, Postdoc, 2021~2022, and RA, 2019~2020, City University of Hong Kong; now Associate Professor at Nanjing University of Science and Technology, China.
• Huayi Duan, PhD, 2020, first employment: Postdoctoral Fellow at ETH Zurich, Switzerland; now Assistant Professor at The Hong Kong University of Science and Technology (Guangzhou) (HKUST-GZ), China.
• Xinyu Wang, PhD, 2021, first employment: Software engineer, Tencent, Shenzhen, China.
• Lingchen Zhao, Postdoc, 2021~2022, current employment: Associate Professor, Wuhan University, China.
• Jiasi Weng, Postdoc, 2021~2022, RA, 2019~2020, City University of Hong Kong; now Associate Professor at Guangzhou University, China (since March 2026).
• Chengjun Cai, PhD, 2021, first employment: Postdoc, City University of Hong Kong; now Associate Professor at City University of Hong Kong (Dongguan).
• Yuefeng Du, PhD, 2022, first employment: Postdoc, City University of Hong Kong.
• Jiamin Li, PhD, 2024, first employment: Senior Researcher, Microsoft Research Asia – Vancouver, Canada.
• Zhengxiang Zhou, PhD, 2024, first employment: Software engineer, Bytedance, Shenzhen, China.
• Xiang Zheng, PhD, 2024 (CityU Presidential Scholarship), first employment: Postdoc, City University of Hong Kong; now Research Assistant Professor, Hong Kong Institute of AI for Science (HKAI-Sci), City University of Hong Kong.
• Haiwei Wu, Postdoc, 2023~2024, City University of Hong Kong; now Professor, University of Electronic Science and Technology of China (UESTC), China, since 2025.
• Xiangyi Meng, PhD, 2025, first employment: Game Engine Engineer, miHoYo, China.
• Yichen Zang, PhD, 2025, first employment: Research Engineer, Kape Technologies, Hong Kong.
• Wentao Dong, PhD, 2025, first employment: Research Staff, The Laboratory for AI-Powered Financial Technologies Limited (AIFT), Hong Kong.
• Xinyan Li, PhD, 2025, first employment: Huawei, Hong Kong.
• Rui Lian, PhD, 2025, first employment: Huawei, Hong Kong.
• Leqian Zheng, PhD, 2025 (HK PhD Fellowship), first employment: Postdoc, City University of Hong Kong (2025.10~2026.02); now Lecturer, National University of Defense Technology (NUDT), China (since 2026.03).
• Tao Ni, Postdoc, 2024~2025, City University of Hong Kong; now Assistant Professor, King Abdullah University of Science and Technology (KAUST), Saudi Arabia, since Oct. 2025.
• Yi Liu, PhD, 2026, first employment: Postdoc, City University of Hong Kong.

Selected Awards and Honors

• Stanford's Top 2% Most Highly Cited Scientists, 2020, 2021, 2022, 2023, 2024, 2025
• BOCHK Science and Technology Innovation Prize (STIP), FinTech Field, 2024
• Member of the Central Bank Digital Currency (CBDC) Expert Group, Hong Kong Monetary Authority, 2023
• RGC Research Fellow, 2021
• Elevation to IEEE Fellow, 2020
• Best Paper Award, IEEE ICDCS 2020
• IEEE INFOCOM Test of Time Paper Award, 2020
• The President's Awards 2019, City University of Hong Kong, 2019
• Outstanding Research Award, City University of Hong Kong, 2019
• First Place Award, The 2019 iDASH Genome Privacy & Security Competition, National Institute of Health (NIH) and Indiana University, 2019
• Best Paper Award, IEEE ICPADS 2018, "Towards Privacy-Preserving Malware Detection Systems for Android", by H. Cui, Y. Zhou, C. Wang, Q. Li, and K. Ren.
• Outstanding Supervisor Award, City University of Hong Kong, 2017 (Awarded on 11 Dec. 2017)
• The Founding Members of the Young Academy of Sciences of Hong Kong, 2017.
• The President's Awards 2016, City University of Hong Kong, 2017.
• Best Student Paper Award for IEEE ICDCS 2017, "You Can Hear But You Cannot Steal: Defending Against Voice Impersonation Attacks on Smartphones", by S. Chen, K. Ren, S. Piao, C. Wang, Q. Wang, J. Weng, L. Su, and A. Mohaisen.
• Best Paper Award for IEEE MSN 2015, "Towards Secure and Practical Targeted Mobile Advertising", by J. Jiang, X. Gui, Z. Shi, X. Yuan, and C. Wang.

Selected Recent Grants

• "Rethinking Leakages in Dynamic Encrypted Database: Exploitation, Quantification, and Mitigation", GRF, PI, Duration: 2025.01~2027.12.
• "Towards Security Assessment and Privacy Enhancement of Artificial Intelligence Algorithms in Finance", MHKJFS (Mainland-Hong Kong Joint Funding Scheme), PI, Duration: Sep 2024~Aug 2026.
• "Enabling Metadata-private and Accountable Networks at Scale", HK CRF, PC, Duration: June 2023~May 2026.
• "Building Privacy-assured and Scalable Encrypted Databases with Secure Enclaves", HK RFS, PI, Duration: 2022.01~2027.12.
• "Towards Secure, Dynamic, and Practical Auditing for Decentralized Storage Network", GRF, PI, Duration: 2022.01~2024.12.

Teaching

Course materials available at CityU Canvas.

• CS 4394, Information Security and Management, Semester A, 2021, Co-instructor
• CS 5294, Information Security Technology Management, Semester A, 2021, Course Leader
• CS 6290, Privacy-enhancing Technologies (TPg), Semester B, 2017-2021, Course Leader
• CS 5222, Computer Networks and Internet (TPg), Semester A, 2012-2019, Course Leader
• CS 4293, Topics on Computer Security (Ug), Semester B, 2013, 2015-2021, Course Leader
• CS 5293, Topics on Information Security (TPg), Semester B, 2013, 2015-2017, Course Leader
• GE 2323, Mobile Social Networks: Practices, Challenges, and Beyond (Ug), Semester B, 2013, Course Leader
• CS 3391, Advanced Programming (Ug), Semester B, 2015-2021, Co-instructor

Selected Professional Services

Editorships

• Editor-in-Chief, IEEE Transactions on Dependable and Secure Computing (TDSC), late 2022 – January 2025

Conference Organizing Committee

• TPC, USENIX Security 2023 - 2025
• Finance and Registration Chair, ICDCS 2023
• TPC Co-Chair, The 16th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QShine 2020)
• TPC Co-Chair, The 3rd IEEE Conference on Dependable and Secure Computing (DSC 2019)
• TPC Co-Chair, The 12th International Conference on Network and System Security (NSS 2018)