李超

博士、讲师

基本信息

办公电话: 电子邮件: li.chao@bjtu.edu.cn
通讯地址: 邮编:

教育背景

  • 2014.8 - 2019.4,美国匹兹堡大学,博士(导师:Prof. Balaji Palanisamy
  • 2012.9 - 2013.11,英国帝国理工学院,硕士
  • 2010.9 - 2012.6,英国爱丁堡大学,学士(3+2 双学位)
  • 2007.9 - 2012.6,大连理工大学,学士(3+2 双学位)


工作经历

2019.5 - 至今,北京交通大学,计算机与信息技术学院,信息安全系,讲师

研究方向

欢迎有意向申请硕士研究生的同学邮件联系

近期主要研究方向:

  • 区块链:扩容、治理、安全、隐私等
  • 隐私计算:差分隐私、联邦学习


科研项目

  • 国家自然科学基金青年科学基金项目面向复杂智能合约的高活性链下扩容研究,2023-2025,主持
  • 北京市自然科学基金面上专项:区块链系统中心化威胁的安全防护与监管基础研究,2022-2023,主持
  • 国家重点研发计划项目:城市智能系统可信任机理与关键技术2020-2023,负责子课题
  • 基本科研业务费基础研究: 面向可扩展区块链系统的活性保障关键技术研究,2022-2025,主持
  • 红果园省部级"企事业"(新):智能合约漏洞分析工具,2022,主持
  • 基本科研业务费人才基金:去中心化敏感信息定时传递机制研究,2019-2022,主持,结题获评优秀
  • 铁路总公司(原铁道部):基于区块链的铁路系统安全运行行为监控技术研究2020-2021,参与
  • 国家自然科学基金“联合基金项目”: 区块链的安全可控及攻击检测理论与方法研究, 2022-2025,参与
  • 红果园国家级科技委、后勤保障项目:区块链在物联网应用中的关键技术研究2019-2020,参与

教学工作

  • 《区块链技术》,研究生课程,20-22秋/春(与段莉老师共同授课)(获"教育部-IBM"、"教育部-微众银行"等产学合作项目支持)
  • 《计算机取证》,本科生课程,21-22秋
  • 《金融数据安全》,本科生课程,20秋

论文/期刊

区块链方向:

  • [TDSC] Runhua Xu, Chao Li and James Joshi. "Blockchain-based Transparency Framework for Privacy Preserving Third-party Services."  IEEE Transactions on Dependable and Secure Computing, 2022, accepted. (CCF A类)
  • Yingxiao Xiang, Chao Li, Tong Chen, Yike Li, Endong Tong, Wenjia Niu, Qiong Li, Jiqiang Liu, and Wei Wang: Toward Blockchain-Based Spoofing Defense for Controlled Optimization of Phases in Traffic Signal System. IEICE Transactions on Information and Systems. 2022, E105-D(2):280-288.
  • [TSC] Chao Li and Balaji Palanisamy. “SilentDelivery: Practical Timed-delivery of Private Information using Smart Contracts.” IEEE Transactions on Services Computing, 2021, accepted. (CCF B) [PDF] 基于区块链的敏感信息高效定时传递
  • [ICDEW'21] Qinwei Lin, Chao Li, Xifeng Zhao and Xianhai Chen. "Measuring Decentralization in Bitcoin and Ethereum using Multiple Metrics and Granularities." In IEEE 37th International Conference on Data Engineering Workshops. (指导本科生大创成果[PDF] 
  • [CODASPY'21] Chao Li, Balaji Palanisamy, Runhua Xu, Jinlai Xu and Jingzhe Wang. "SteemOps: Extracting and Analyzing Key Operations in Steemit Blockchain-based Social Media Platform." Proc. of 11th ACM Conference on Data and Application Security and Privacy. [PDF][DATASET] 
  • [SRDS'20] Chao Li, Balaji Palanisamy, Runhua Xu, Jian Wang and Jiqiang Liu. "NF-Crowd: Nearly-free Blockchain-based Crowdsourcing." Proc. of 39th IEEE International Symposium on Reliable Distributed Systems, Shanghai, China. (CCF B) [PDF] 低成本区块链众包
  • [ICWS'20] Chao Li and Balaji Palanisamy. "EventWarden: A Decentralized Event-driven Proxy Service for Outsourcing Arbitrary Transactions in Ethereum-like Blockchains." Proc. of 27rd IEEE International Conference on Web Services, Beijing, China(CCF B) [PDF] 事件驱动交易外包
  • [ICBC'20Chao Li and Balaji Palanisamy. “Comparison of Decentralization in DPoS and PoW Blockchains.” Proc. of 2020 International Conference on Blockchain, Honolulu, Hawaii, USA. [PDF][DATASET] 
  • [WebSci'19Chao Li and Balaji Palanisamy. “Incentivized Blockchain-based Social Media Platforms: A Case Study of Steemit.” Proc. of 11th ACM International Web Science Conference, Boston, MA, USA. [PDF][DATASET] 基于区块链的社交平台
  • [ICDEW'19Chao Li, Balaji Palanisamy and Runhua Xu. “Scalable and Privacy-preserving Design of On/Off-chain Smart Contracts.” In IEEE 35th International Conference on Data Engineering Workshops. [PDF] 智能合约链上链下混合部署
  • [CIC'19] Balaji Palanisamy and Chao Li. “Self-emerging Data Infrastructures.” Proc. of 5th IEEE International Conference on Collaboration and Internet Computing, Los Angeles, California, USA. [PDF]
  • [SRDS'18] Chao Li and Balaji Palanisamy. “Decentralized release of self-emerging data using smart contracts.” Proc. of 37th IEEE International Symposium on Reliable Distributed Systems, Salvador, Brazil. (CCF B) [PDF基于区块链的敏感数据定时解密
  • [HiPC'18] Chao Li and Balaji Palanisamy. “Decentralized Privacy-preserving Timed Execution in Blockchain-based Smart Contract Platforms.” Proc. of 25th IEEE International Conference on High Performance Computing, Data, and Analytics. (CCF C) [PDF时间驱动交易外包
  • [ICDCS'17] Chao Li and Balaji Palanisamy, “Timed-release of Self-emerging Data using Distributed Hash Tables.” Proc. of 37th IEEE International Conference on Distributed Computing Systems, Atlanta, USA. (CCF B) [PDF分布式的敏感数据定时解密
  • [Cloud'17] Chao Li and Balaji Palanisamy, “Emerge: Self-emerging Data Release using Cloud Data Storage.” Proc. of 10th IEEE International Conference on Cloud Computing, Honolulu, USA. (CCF C) [PDF]

隐私计算方向

  • [TDSC] Runhua Xu, James B.D. Joshi and Chao Li. “NN-EMD: Efficiently Training Neural Networks using Encrypted Multi-sourced Datasets.” IEEE Transactions on Dependable and Secure Computing, 2021accepted. (CCF A[PDF][APPENDIX] 基于多方加密数据训练神经网络
  • [ICDCS'19] Runhua Xu, James BD Joshi, and Chao Li. “CryptoNN: Training Neural Networks over Encrypted Data.” Proc. of 39th IEEE International Conference on Distributed Computing Systems, Dallas, Texas, USA. (CCF B) [PDF于加密数据训练神经网络
  • [COMCOM] Chao Li and Balaji Palanisamy. “Reversible spatio-temporal perturbation for protecting location privacy.”Elsevier Computer Communications 135, 16-27, 2019. (CCF C) [PDF
  • [IOTJ] Chao Li and Balaji Palanisamy. “Privacy in Internet of Things: from Principles to Technologies.” IEEE Internet of Things Journal  6 (1), 488-505, 2018. (1区) [PDF] 物联网中的隐私问题
  • [COSE] Lei Jin, Chao Li, Balaji Palanisamy and James Joshi. “k-Trustee: Location injection attack-resilient anonymization for location privacy.” Elsevier Computers & Security 78, 212-230, 2018. (CCF B) [PDF] 基于信任模型的位置隐私保护
  • [BigData Congress'18] Chao Li, Balaji Palanisamy and Prashant Krishnamurthy. “Reversible Data Perturbation Techniques for Multi-level Privacy-preserving Data Publication.” Proc. of 7th International Congress on Big Data, USA. (Received Best Paper Award) [PDF] 
  • [Big Data'17] Balaji Palanisamy, Chao Li and Prashant Krishnamurthy, “Group Privacy-aware Disclosure of Association Graph Data.” Proc. of 5th IEEE International Conference on Big Data, Boston, USA. (CCF C) [PDF] 群组差分隐私
  • [BigData Congress'17Chao Li, Balaji Palanisamy and James Joshi, “Differentially Private Trajectory Analysis for Points-of-Interest Recommendation.” Proc. of 6th IEEE International Congress on Big Data, Honolulu, USA. (Received Best Paper Award) [PDF] 差分隐私轨迹分析与地点推荐
  • [ICDCS'17, DemoChao Li, Balaji Palanisamy, Aravind A. Kalaivanan and Sriram Raghunathan, “ReverseCloak: A Reversible Multi-level Location Privacy Protection System.” Proc. of 37th IEEE International Conference on Distributed Computing Systems, Atlanta, USA. [PDF]
  • [ICDCS'17, Poster] Balaji Palanisamy, Chao Li and Prashant Krishnamurthy, “Group Differential Privacy-preserving Disclosure of Multi-level Association Graphs.” Proc. of 37th IEEE International Conference on Distributed Computing Systems, Atlanta, USA. [PDF]
  • [ICWS'16] Chao Li, Balaji Palanisamy and James Joshi, “SocialMix: Supporting Privacy-aware Trusted Social Networking Services.” Proc. of 23rd IEEE International Conference on Web Services, San Francisco, USA. (CCF B) [PDF
  • [NSS'15Chao Li and Balaji Palanisamy, “De-anonymizable Location Cloaking for Privacy-controlled Mobile Systems.” Proc. of 9th International Conference on Network and System Security, New York, USA. [PDF]
  • [CIKM'15] Chao Li and Balaji Palanisamy, “ReverseCloak: Protecting Multi-level Location Privacy over Road Networks.” Proc. of 24th ACM International Conference on Information and Knowledge Management, Melbourne, Australia. (CCF B) [PDF] 多级可逆k匿名

社会兼职

  • CCF 区块链专委会执行委员,北京物联网学会青年委员会委员
  • Journal Review: IEEE TDSC, IEEE TSC, ACM TOPS, ACM TOIT, COSE
  • Conference Program Committees: IEEE BigData'22-21, IEEE TPS'22, ICBC'22-20, METAVERSE'22, BlockDM'21, SERVICES'21-20
  • Conference Tutorial: ICISS'20
  • Members: CCF, IEEE, ACM