张晓丽
时间:2024-04-27 21:08 来源: 作者: 点击:次
个人简介 2022.06 – 至今 浙江工业大学 信息与隐私保护团队2020.08 – 2022.06 阿里巴巴集团安全部 2015.09 – 2020.08 清华大学计算机科学与技术 博士研究生 导师：吴建平院士、李 琦教授团队目前与清华大学、香港城市大学等著名高校，英伟达(硅谷)、阿里巴巴、蚂蚁集团、字节跳动、美团等知名企业有着密切的交流与合作。每年招收1～2名学术型硕士研究生，如果你对网络安全、数据隐私、机器学习安全感兴趣，有自驱力，且热切希望精进计算机技术，欢迎随时联系我！Selected News!!![Honor] 2023.06 祝贺孙哲获得浙江工业大学校级优秀硕士学位论文！[Paper] 2023.05 Our privacy-preserving and verifiable middlebox paper accepted by IEEE/ACM ToN (CCF A). Congratulations, Yiqiao SONG (master student)![Paper] 2023.04 Our robust machine learning verification paper accepted by ICDCS 2023 (CCF B, acceptance ratio: 83/439=18.9%). Congratulations, Zhicheng XU(Ph.D. candidate)![Funding] 2022.12 Our secure and verifiable distributed machine learning research got funded by Zhejiang Provincial Natural Science Foundation of China.[Honor] 2022.11 祝贺周坤(博士生)、孙哲(硕士生)同时获得“杰出研究生”和“优秀成果一等奖”等荣誉！[Paper] 2022.10 Our cross-chain based trading framework paper accepted by IEEE TSC (CCF A). Congratulations, Zhe SUN (master student)![HOT Competition] 2022.08 我们的工作“隐私保护的区块链系统”获得天池大数据竞赛赛道2“基于加密计算的创新应用设计与实践”第1赛季 第1名，祝贺孙文翔(硕士生)！科研方向：拓宽视野，培养逻辑思维能力，做真实可落地的科研工作。区块链安全：解决区块链系统及智能合约的安全与可扩展性问题。技能：区块链系统知识、程序分析技术、密码学技术机器学习隐私与安全：解决机器学习包括大语言模型及协作学习等架构中的潜在隐私及安全问题技能：机器学习技术、可信执行环境、密码学技术网络异常检测：解决网络安全相关问题，包括攻击演进及对抗等技能：网络基础知识、机器学习技术物联网安全：解决物联网安全，包括设备认证威胁、设备授权威胁等技能：嵌入式系统知识、程序分析技术 科研成果 # 科研成果Xiaoli Zhang, Wenxiang Sun, Zhicheng Xu, Hongbing Cheng, Chengjun Cai, Helei Cui, Qi Li, EVM-Shield: In-Contract State Access Control for Fast Vulnerability Detection and Prevention[J], IEEE Transactions on Information Forensics & Security (TIFS), 2023. (major revision, CCF A）Xiaoli Zhang, Wei Geng, Yiqiao Song, Hongbing Cheng, Ke Xu, Qi Li, Privacy-preserving and Lightweight Verification of Deep Packet Inspection In Clouds[J], IEEE/ACM Transactions on Networking (ToN), 2023, to appear. (CCF A, IF=3.796)Xiaoli Zhang, Zhicheng Xu, Hongbing Cheng, Tong Che, Ke Xu, Weiqiang Wang, Wenbiao Zhao, Chunping Wang and Qi Li, “Secure Collaborative Learning in Mining Pool via Robust and Efficient Verification”, in Proc. of IEEE International Conference on Distributed Computing Systems (ICDCS), 2023. (CCF B, Acceptance ratio: 83/439=18.9%)Xiaoli Zhang, Qi Li, Zeyu Zhang, Jianping Wu, Jiahai Yang, “vSFC: Generic and Agile Verification of Service Function Chains in the Cloud” [J], IEEE/ACM Transactions on Networking (ToN) 29, 1 (Feb. 2021), 78–91, doi: 10.1109/TNET.2020.3028846. (CCF A, IF=3.796)Xiaoli Zhang, Fengting Li, Zeyu Zhang, Qi Li, Cong Wang, Jianping Wu, “Enabling Execution Assurance of Federated Learning at Untrusted Participants”, in Proc. of IEEE International Conference on Computer Communications (INFOCOM), 2020. (CCF A, Acceptance ratio: 268/1354 = 19.8%)Xiaoli Zhang, Huayi Duan, Cong Wang, Qi Li, Jianping Wu, “Towards Verifiable Performance Measurement over In-the-Cloud Middleboxes”, in Proc. of IEEE International Conference on Computer Communications (INFOCOM), 2019. (CCF A, Acceptance ratio: 288/1464 = 19.7%)Xiaoli Zhang, Qi Li, Jianping Wu, Jiahai Yang, “Generic and agile service function chain verification on cloud”, in Proc. of IEEE/ACM International Symposium on Quality of Service (IWQoS), 2017. (CCF B, Acceptance ratio: 29/164 = 19.9%)Xiaoli Zhang, Cong Wang, Qi Li, Jianping Wu. “Towards Comprehensive Network Verification: Practices, Challenges and Beyond” [J]. IEEE Network, 2019. (JCR Q1, IF=10.294)Yue Xiao, Yi He, Xiaoli Zhang, Qian Wang, Renjie Xie, Kun Sun, Ke Xu, Qi Li, “From Hardware Fingerprint to Access Token: Enhancing the Authentication on IoT Devices”, in Proc. of ISOC NDSS, 2024. (minor revision, CCF A, 四大安全顶会)Zhe Sun, PengZhao, Chunping Wang, Xiaoli Zhang#, Hongbing Cheng#, “An Efficient and Secure Trading Framework for Shared Charging Service based on Multiple Consortium Blockchains”, IEEE Transactions on Services Computing (TSC), 2022, doi: 10.1109/TSC.2022.3216659. (CCF A, IF=11.019, #corresponding authors)Zeyu Zhang*, Xiaoli Zhang*, Qi Li, Kun Sun, Yinqian Zhang, Songsong Liu, Jianping Wu, Yukun Liu, Xiaoning Li. “See through Walls: Detecting Malware in SGX Enclaves with SGX-Bouncer”, in Proc. of ACM ASIACCS, 2021. (CCF C, *equal contribution, Acceptance ratio: 18.4%)Fengting Li, Xuankai Liu, Xiaoli Zhang, Qi Li, Kun Sun, Kang Li, “TaintRadar: A Generic Approach to Detecting Localized Adversarial Examples via Critical Region Analysis”, in Proc. of IEEE International Conference on Computer Communications (INFOCOM), 2021. (CCF A, Acceptance ratio: 19.9%)Zijie Yang, Jiahao Cao, Zhuotao Liu, Xiaoli Zhang, Kun Sun, Qi Li, “Good Learning, Bad Performance: A Novel Attack Against RL-Based Congestion Control Systems”, IEEE Transactions on Information Forensics and Security (TIFS), vol. 17, pp. 1069-1082, 2022, doi: 10.1109/TIFS.2022.3154244. (CCF A, IF=7.231)Can Jiang, Duanyang Liu, Xiaoli Zhang, Kun Zhou, Hongbing Cheng, “Accelerating State Synchronization in Bitcoin Combining Secure Snapshot with IPFS”, in Proc. of IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), 2022. (CCF C)Chunping Wang, Jiahui Chen, Xiaoli Zhang, Hongbing Cheng, “An Efficient Fully Homomorphic Encryption Sorting Algorithm Using Addition Over TFHE”, in Proc. of IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2022. (CCF C) 张晓丽，杨家海，孙晓晴，吴建平. 分布式云的研究进展综述[J]. 软件学报, 2018，29(7)：2116-2132. 王进文, 张晓丽, 李琦, 吴建平,江勇. 网络功能虚拟化技术研究进展[J]. 计算机学报, 2019, 42(2):22.陈雅雯，郭蕴哲，张晓丽，李琦，吴建平. 一种基于非监督异常检测的对抗样本检测方法[C]. 中国互联网学术年会 (ICoC 2019). (最佳论文奖)# 科研项目浙江省自然科学基金-探索青年“安全可验证的分布式机器学习关键技术研究”，主持，2023国家自然科学基金NSFC-青年基金“面向分布式机器学习的轻量化可验证执行方法研究”，主持，2024 教学与课程 《人工智能导论》2023秋季学期 |