Chengjun CAI

Chengjun CAI

Associate Professor at CityU (Dongguan)

About me

I am currently an Associate Professor at City University of Hong Kong (Dongguan). I obtained my Ph.D. degree in Computer Science from City University of Hong Kong in July 2021, under the supervision of Prof. Cong Wang (IEEE Fellow), and obtained my Bachelor degree in Computer Science and Technology from Jinan University, Guangzhou, in July 2016. I worked as a postdoctoral research fellow at HKAIFT from 2021 to 2022 and as a research assistant at City University of Hong Kong from 2016 to 2017.

My research interests include Cybersecurity, Financial Technologies, Privacy-enhancing Technologies, and AI Security.

Email: chengjun.cai[at]cityu-dg.edu.cn

:fire:News:fire:

  • I am looking for self-motivating students to join my team at CityU(DG). Positions for PhD, RA, and interns are available. Please drop me your CV if interested.

Recent publications

Journal

  • [IEEE TIFS] Xiaoli Zhang, Wenxiang Sun, Zhicheng Xu, Hongbing Cheng, Chengjun Cai, Helei Cui, Qi Li “EVMShield: In-Contract State Access Control for Fast Vulnerability Detection and Prevention”, published in IEEE Transactions on Information Forensics and Security, volume: 19, Page 2517-2532, 2024.
  • [IEEE TDSC] Chengjun Cai, Jian Weng, Xingliang Yuan, Cong Wang, “Enabling Reliable Keyword Search in Encrypted Decentralized Storage with Fairness”, published in IEEE Transactions on Dependable and Secure Computing, volume: 18, Issue: 1, Jan.-Feb. 1 2021.
  • [IEEE TDSC] Chengjun Cai, Yifeng Zheng, Yuefeng Du, Zhan Qin, Cong Wang, “Towards Private, Robust, and Verifiable Crowdsensing Systems via Public Blockchains”, published by IEEE Transactions on Dependable and Secure Computing, volume: 18, Issue: 4, July-Aug. 1 2021.
  • [IEEE TDSC] Jiasi Weng, Jian Weng, Chengjun Cai, Hongwei Huang, Cong Wang, “Golden Grain: Building a Secure and Decentralized Model Marketplace for MLaaS”, accepted by IEEE Transactions on Dependable and Secure Computing, May 2021.

Conference

  • [ACM MM’24] Yi Liu, Chengjun Cai, Xiaoli Zhang, Xingliang Yuan, Cong Wang, “Arondight: Red Teaming Large Vision Language Models with Auto-generated Multi-modal Jailbreak Prompts”, accepted by ACM MULTIMEDIA, 2024.
  • [IEEE ICDCS’24] Yichen Zang, Chengjun Cai, Wentao Dong, Lei Xu, Cong Wang, “HiddenTor: Toward a User-Centric and Private Query System for Tor BridgeDB”, accepted by IEEE International Conference on Distributed Computing Systems (ICDCS), 2024.
  • [ACM MM’24] Weixiang Han, Chengjun Cai, Guo Yu, Jialiang Peng, “ERL-MR: Harnessing the Power of Euler Feature Representations for Balanced Multi-modal Learning”, accepted by ACM MULTIMEDIA, 2024.
  • [IEEE ICDE’24] Zhao Bai, Mingyue Wang, Fangda Guo, Yu Guo, Chengjun Cai, Rongfang Bie, and Xiaohua Jia, “SecMdp: Towards Privacy-Preserving Multimodal Deep Learning in End-Edge-Cloud”, accepted by IEEE International Conference on Data Engineering (ICDE), 2024.
  • [ACM CCS’22] Chengjun Cai, Yichen Zang, Cong Wang, Xiaohua Jia, Qian Wang, “Vizard: A Metadata-hiding Data Analytic System with End-to-End Policy Controls”, accepted by ACM Conference on Computer and Communications Security (CCS), 2022.
  • [IEEE INFOCOM’21] Jiasi Weng, Jian Weng, Hongwei Huang, Chengjun Cai, Cong Wang, “FedServing: A Federated Prediction Serving Framework Based on Incentive Mechanism”, in the 40th International Conference on Computer Communications, Virtual conference, 2021.
  • [IEEE INFOCOM’20] Chengjun Cai, Lei Xu, Anxin Zhou, Ruochen Wang, Cong Wang and Qian Wang, “EncELC: Hardening and Enriching Ethereum Light Clients with Trusted Enclaves”, in the 39th International Conference on Computer Communications, Virtual conference, 2020. Extension version on IEEE TDSC.
  • [IEEE ICDCS’18] Chengjun Cai, Yifeng Zheng, and Cong Wang, “Leveraging Crowdsensed Data Streams to Discover and Sell Knowledge: A Secure and Efficient Realization”, in the 38th International Conference on Distributed Computing Systems, Vienna, Austria, 2018. Extension version on IEEE TDSC.

Full version of my publications can be found in Google Scholar and DBLP.

Selected awards

  • Best Paper Award for the paper “Towards a Ledger-Assisted Architecture for Secure Query Processing over Distributed IoT Data”, co-authored with Xingliang Yuan, Qian Wang, and Qi Li, in 2019 IEEE Conference on Dependable and Secure Computing (IDSC), HangZhou, China, 2019.
  • Chow Yei Ching School of Graduate Studies Scholarship (2019-2020, only around 20 awardees university wide).
  • Research Tuition Scholarships (2017-2018 and 2018-2019).
  • Outstanding Academic Performance Awards (2017-2018, 2018-2019, and 2019-2020).
  • City University of Hong Kong PhD Scholarship (Sept. 2017-July 2021).
  • 2018 IEEE ICDCS Student Travel Grant.

Invited talks

  • “Vizard: A Metadata-hiding Data Analytic System with End-to-End Policy Controls”, Monash Software Systems and Cybersecurity Seminars on 1st August 2023.
  • “区块链安全应用开发与隐私增强应用”, Virtual Seminar Meeting at Northwestern Polytechnical University on 18th February 2022.
  • “When Crowdsensing Meets Blockchain: Challenges, Applications, and Beyond”, Raising Star of CS Young Scholar Forum at Northwestern Polytechnical University via Tencent Meeting on 10th July 2021.
  • “When Private Search Meets Blockchains”, seminar at Monash via Zoom on 14th September 2020.