Liyao Xiang
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Tenure-Track Associate Professor John Hopcroft Center for Computer Science ContactNo. 1 Software Building (软件楼) Room 1408-2, Shanghai Jiao Tong University, 800 Dongchuan Rd., Shanghai |
About Me
I am a tenure-track associate professor at John Hopcroft Center for Computer Science of Shanghai Jiao Tong University. I am also a faculty member of Intelligent Internet of Things (IIOT) Research Center. I obtained my Ph.D. and master's degrees in Department of Electrical and Computer Engineering at University of Toronto, respectively in 2018 and 2015. My advisor is Prof. Baochun Li. I received the B.S. degree from the Department of Electronic Engineering at Shanghai Jiao Tong University in 2012.
My current research interests cover the intersected areas of security, privacy, machine learning, and mobile computing. Topics include data privacy, security and privacy in data mining and machine learning, intelligent edge computing, etc. Particularly, I am interested in identifying fundamental security and privacy threats in machine learning systems, and designing practical countermeasures.
Prospective Students
I am always looking for self-motivated students who are interested in pursuing a master's or Ph.D. degrees in the broad areas of machine learning, security, privacy, and mobile computing. Please send me an email if you are interested.
Students and Alumni
I am greatful to the wonderful students I have been collaborating with. It is an honor and great joy working with you😀
Ph.D. Students: Jungang Yang, Haohua Duan, Shiming Wang, Wei Li, Fupei Chen, Hang Yin
Master Students: Zhe Ji, Borui Yang, Hangyu Ye
Undergraduate Students: Hengyuan Xu, Kaiyuan Shi, Zedong Peng
Ph.D. Alumni: Hui Xu (now at Baidu, co-supervised)
Master Alumni: Shuang Zhang (now at Baidu), Weiting Li (now at Pinduoduo), Xi Yu (now at China Telecom)
Undergraduate Alumni: Lingdong Wang (Ph.D. student at UMass), Shufan Wang (graduated from EPFL), Guoqing Xin (TPLink at Shenzhen), Jiayu Xu, Jiaju Chen (Huawei at Shenzhen), Ningyi Liao (Ph.D. student at NTU), Jiahao Yu (Ph.D. student at Penn. State University), Dixi Yao (Ph.D. student at the University of Toronto, supervised by Prof. Baochun Li), Qiansiqi Hu (Master student at the Chinese University of Hong Kong)
Teaching
Spring, Fall 2021, 2023: EE359 or AI3602 Data Mining
Spring 2019, 2020: EE226 Big Data Mining
Fall 2019-2023: CS149 or CS0501 Data Structure and Algorithms
Journal Articles and Conference Proceedings
Papers are organized by categories. # represents for co-first authors. * stands for corresponding author(s).
Censorship
[IEEE S&P’ 24] Borui Yang; Wei Li; Liyao Xiang*; Bo Li; ‘‘SrcMarker: Dual-Channel Source Code Watermarking via Scalable Code Transformations," in the IEEE Symposium on Security and Privacy (IEEE S&P), San Francisco, US, May 20-23, 2024. (CCF-A, acceptance rate: 14.9%)
Privacy in Machine Learning
[CVPR ’24] Hengyuan Xu; Liyao Xiang*; Hangyu Ye; Dixi Yao; Pengzhi Chu; Baochun Li; ‘‘Permutation Equivariance of Transformers and Its Applications," accepted in Proceedings of the IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR ’24), Seattle, USA, June 17-21, 2024. (CCF-A)
[NDSS’24] Shiming Wang; Zhe Ji; Liyao Xiang*; Hao Zhang; Xinbing Wang; Chenghu Zhou; Bo Li; ‘‘Crafter: Facial Feature Crafting against Inversion-based Identity Theft on Deep Models," in Network and Distributed System Security (NDSS) Symposium, San Diego, USA, Feb.26-Mar.1, 2024. (CCF-A)
[TMC’23] Liyao Xiang#*; Shuang Zhang#; Quanshi Zhang; ‘‘Learning to Prevent Input Leakages in the Mobile Cloud Inference," in IEEE Transactions on Mobile Computing (TMC), page(s): 1-14, Print ISSN: 1536-1233, Digital Object Identifier: 10.1109/TMC.2023.3340338, 2023. (CCF-A)
[ESORICS’23] Xi Yu; Liyao Xiang*; Shiming Wang; Chengnian Long; ‘‘Privacy-Preserving Split Learning via Pareto Optimal Search," in the 28th European Symposium on Research in Computer Security (ESORICS), The Hague, The Netherlands, Sept.25-29, 2023. (CCF-B)
[INFOCOM’23] Zhe Ji; Qiansiqi Hu; Liyao Xiang*; Chenghu Zhou; ‘‘Mixup Training for Generative Models to Defend Membership Inference Attacks," in Proc. IEEE International Conference on Computer Communications (INFOCOM), New York area, USA, May 17-20, 2023. Slides (CCF-A)
[TIFS’22] Weiting Li; Liyao Xiang*; Bin Guo; Zhetao Li; Xinbing Wang; ‘‘DPlanner: A Privacy Budgeting System for Utility," in IEEE Transactions on Information Forensics & Security (TIFS), Digital Object Identifier: 10.1109/TIFS.2022.3231786, 2022. (CCF-A)
[ICDM’22] Dixi Yao; Liyao Xiang*; Hengyuan Xu; Hangyu Ye; Yingqi Chen;‘‘Privacy-Preserving Split Learning via Patch Shuffling over Transformers," in Proc. 22nd IEEE International Conference on Data Mining (ICDM), Orlando, USA, Nov.28-Dec.1, 2022. (CCF-B)
[TMC’21] Liyao Xiang*;Weiting Li; Jungang Yang; Xinbing Wang; Baochun Li; ‘‘Differentially-Private Deep Learning with Directional Noise," in IEEE Transactions on Mobile Computing (TMC), 2021. (CCF-A)
[TMC’21] Jungang Yang#; Liyao Xiang#*; Jiahao Yu; Xinbing Wang; Bin Guo; Zhetao Li; Baochun Li; ‘‘Matrix Gaussian Mechanisms for Differentially-Private Learning," in IEEE Transactions on Mobile Computing (TMC), Digital Object Identifier: 10.1109/TMC.2021.3093316, 2021. (CCF-A)
[TIFS’21] Jungang Yang#; Liyao Xiang#*; Ruidong Chen; Weiting Li; Baochun Li; ‘‘Differential Privacy for Tensor-Valued Queries," in IEEE Transactions on Information Forensics & Security (TIFS), Digital Object Identifier: 10.1109/TIFS.2021.3089884, 2021. (CCF-A)
[INFOCOM’21] Weiting Li; Liyao Xiang*; Zhou Zhou; Feng Peng; ‘‘Privacy Budgeting for Growing Machine Learning Datasets," in Proc. IEEE International Conference on Computer Communications (INFOCOM), Virtual, May 10-13, 2021. (CCF-A)
[ICDCS’20] Liyao Xiang*; Lingdong Wang; Shufan Wang; Baochun Li; ‘‘Achieving Consensus in Privacy-Preserving Decentralized Learning," in Proc. IEEE International Conference on Distributed Computing Systems (ICDCS), Singapore, July 8 - 10, 2020. (CCF-B)
[ICLR’20] Liyao Xiang; Hao Zhang; Haotian Ma; Yifan Zhang; Jie Ren; Quanshi Zhang*; ‘‘Interpretable Complex-Valued Neural Networks for Privacy Protection," in Proc. International Conference on Learning Representations (ICLR), Addis Ababa, Ethiopia, April 26-30, 2020.(清华A类)
[INFOCOM’19] Liyao Xiang*; Jingbo Yang; Baochun Li; ‘‘Differentially-Private Deep Learning from an Optimization Perspective," in Proc. IEEE International Conference on Computer Communications (INFOCOM), Paris, France, April 29-May 2, 2019. Slides (CCF-A)
Privacy Applications
[TDSC’23] Wei Li; Borui Yang; Hangyu Ye; Liyao Xiang; Qingxiao Tao; Xinbing Wang; Chenghu Zhou; ‘‘MiniTracker: Large-Scale Sensitive Information Tracking in Mini Apps," in IEEE Transactions on Dependable and Secure Computing (TDSC), Page(s)1-17, Digital Object Identifier: 10.1109/TDSC.2023.3299945, 2023. (CCF-A)
[GLOBECOM’23] Fupei Chen; Liyao Xiang*; Hei Victor Cheng; Kaiming Shen; ‘‘Deep Learning Enabled Semantic-Secure Communication with Shuffling," in IEEE Global Communications Conference (GlobeCom), Kuala Lumpur, Malaysia, Dec.4–8, 2023.
Trustworthy and Robust Machine Learning
[TDSC’24] Haohua Duan; Zedong Peng; Liyao Xiang*; Yuncong Hu; Bo Li; ‘‘A Verifiable and Privacy-Preserving Federated Learning Training Framework," in IEEE Transactions on Dependable and Secure Computing (TDSC), Digital Object Identifier: 10.1109/TDSC.2024.3369658, 2024. (CCF-A)
[TIFS’23] Haohua Duan; Liyao Xiang*; Xinbing Wang; Pengzhi Chu; Chenghu Zhou; ‘‘A New Zero Knowledge Argument for General Circuits and Its Application," in IEEE Transactions on Information Forensics & Security (TIFS), Vol.18, Page(s)3906-3920, Digital Object Identifier: 10.1109/TIFS.2023.3288454, 2023. (CCF-A)
[TDSC’23] Jungang Yang; Liyao Xiang*; Pengzhi Chu; Xinbing Wang; Chenghu Zhou; ‘‘Certified Distributional Robustness on Smoothed Classifiers," in IEEE Transactions on Dependable and Secure Computing (TDSC), Page(s)1-12, Digital Object Identifier: 10.1109/TDSC.2023.3264850, 2023. (CCF-A)
[MLJ’21] Ningyi Liao#; Shufan Wang#; Liyao Xiang*; Nanyang Ye; Shuo Shao; Pengzhi Chu; ‘‘Achieving Adversarial Robustness via Sparsity," in Machine Learning, Digital Object Identifier: 10.1007/s10994-021-06049-9, 2021. (CCF-B)
Graph Learning
[KDD’23] Hui Xu; Liyao Xiang*; Femke Huang; Yuting Weng; Ruijie Xu; Xinbing Wang; Chenghu Zhou; ‘‘Grace: Graph Self-Distillation and Completion to Mitigate Degree-Related Biases," in the 29th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Long Beach, CA, US, Aug. 6-10, 2023. Slides (CCF-A)
[TKDD’23] Hui Xu; Liyao Xiang*; Xiaoying Gan; Luoyi Fu; Xinbing Wang; Chenghu Zhou; ‘‘Distributional Learning for Network Alignment with Global Constraints," in ACM Transactions on Knowledge Discovery in Data (TKDD), Digital Object Identifier: 10.1145/3638056, 2023. (CCF-B)
[TKDD’23] Hui Xu; Liyao Xiang*; Junjie Ou; Yuting Weng; Xinbing Wang; Chenghu Zhou; ‘‘Open-World Graph Active Learning for Node Classification," in ACM Transactions on Knowledge Discovery in Data (TKDD), Vol.18, No.2, Page(s)1-20, Digital Object Identifier: 10.1145/3607144, 2023. (CCF-B)
[CIKM’21] Hui Xu; Liyao Xiang*; Jiahao Yu; Anqi Cao; Xinbing Wang*; ‘‘Speedup Robust Graph Structure Learning with Low-Rank Information," in 30th ACM International Conference on Information and Knowledge Management (CIKM), Virtual, Nov. 1-5, 2021. (CCF-B)
Intelligent Edge
[Ubicomp’22] Dixi Yao; Liyao Xiang*; Zifan Wang; Jiayu Xu; Chao Li; Xinbing Wang; ‘‘Context-Aware Compilation of DNN Training Pipelines across Edge and Cloud," in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT, also UbiComp/ISWC), Issue 4, Vol. 5, December 2021. (CCF-A)
[ICDCS’21] Dixi Yao#; Lingdong Wang#; Jiayu Xu; Liyao Xiang∗; Shuo Shao; Yingqi Chen; Yanjun Tong; ‘‘Federated Model Search via Reinforcement Learning," in Proc. IEEE International Conference on Distributed Computing Systems (ICDCS), Virtual, July 7 –10, 2021. (CCF-B)
[ICDCS’20] Lingdong Wang; Liyao Xiang*; Jiayu Xu; Jiaju Chen; Xing Zhao; Dixi Yao; Xinbing Wang; Baochun Li; ‘‘Context-Aware Deep Model Compression for Edge Cloud Computing," in Proc. IEEE International Conference on Distributed Computing Systems (ICDCS), Singapore, July 8 - 10, 2020. (CCF-B)
Mobile Cloud Computing
[JSAC’17] Liyao Xiang*; Tzu-Yin Tai; Baochun Li; Bo Li; ‘‘Tack: Learning Towards Contextual and Ephemeral Indoor Localization With Crowdsourcing," in IEEE Journal on Selected Areas in Communications (JSAC), Special Issue on Human-In-The-Loop Mobile Networks, vol. 35, no. 4, pp. 863-879, April 2017. Slides. (CCF-A)
[CNS’17] Liyao Xiang*; Baochun Li; Bo Li; ‘‘Privacy-Preserving Inference in Crowdsourcing Systems," in Proc. IEEE Conference on Communications and Network Security (IEEE CNS), Las Vegas, NV, October 9-11, 2017. Slides.
[ICCCN’15] Liyao Xiang*; Baochun Li; Bo Li; ‘‘Coalition Formation towards Energy-Efficient Collaborative Mobile Computing," in Proc. International Conference on Computer Communications and Networks (ICCCN 2015), Las Vegas, NV, August 3-6, 2015. Slides.
[INFOCOM’14] Liyao Xiang*; Shiwen Ye; Yuan Feng; Baochun Li; Bo Li; ‘‘Ready, Set, Go: Coalesced Offloading from Mobile Devices to the Cloud," in Proc. IEEE International Conference on Computer Communications (INFOCOM 2014). Acceptance ratio: 19%. Slides. (CCF-A)
[WCNC’12] Liyao Xiang*; Gaofei Sun; Jing Liu; Xinbing Wang; Li Li; ‘‘A Discriminatory Pricing Double Auction for Spectrum Allocation," in Proc. IEEE Wireless Communications and Networking Conference (WCNC 2012).
Grants
国家自然科学基金委员会面上项目，62272306 , 面向隐式表征的端-云协同数据安全技术， 2023.01-2026.12，主持
华为-上海交通大学网络空间安全学院创新实验室合作项目，基于梯度分布的机器学习差分隐私算法研究技术项目（YBN2019105168-SOW15），主持
国家自然科学基金委员会重点项目，62032020，新型群智感知网络中数据深度获取与服务化计算，2021.01.01-2025.12.31，第二参与
CCF-蚂蚁科研基金项目，CCF-AFSGRF20200007，多方数据共享场景下的隐私保护机制研究，2020.11.1-2021.10.31，主持
国家自然科学基金委青年基金项目，61902245，移动端深度学习系统中的隐私保护研究，2020.01-2022.12，主持
上海市科委扬帆计划项目，19YF1424500，深度学习应用中的个人数据隐私保护研究，2019.05-2022.04，主持
Professional Services
TPC for KDD 2023, ICDM 2023, SDM 2023, ICDCS 2021, poster/demo session of INFOCOM 2019, IEEE MASS, IEEE GLOBECOM, IEEE CIC ICCC.
Reviewer for Journal Manuscript Submissions: IEEE TIFS, IEEE TDSC, IEEE TMC, IEEE/ACM TON, IEEE Transactions on Services Computing, Multimedia Systems Springer Journals