Language :
中文
向立瑶
Home
Scientific Research
Research Field
Paper Publications
Patents
Published Books
Research Projects
Teaching Research
Teaching Resources
Teaching Information
Teaching Achievement
Awards and Honours
Admission Information
Student Information
My Album
Blog
MOBILE Version
Paper Publications
Current position:
Home
>
Scientific Research
>
Paper Publications
[1] Privacy-Preserving Split Learning via Patch Shuffling over Transformers Proc. 22nd IEEE International Conference on Data Mining (ICDM), 2022,
[2] Mixup Training for Generative Models to Defend Membership Inference Attacks Proc. IEEE International Conference on Computer Communications (INFOCOM), 2022,
[3] DPlanner: A Privacy Budgeting System for Utility IEEE Transactions on Information Forensics & Security (TIFS), 2022,
[4]Xiang Liyao. CAQ: Towards Context-aware and Self-adaptive Deep Model Computation for AIoT Applications IEEE Internet of Things Journal, 2022,
[5] Matrix Gaussian Mechanisms for Differentially-Private Learning IEEE Transactions on Mobile Computing (TMC), 2021,
[6] Differential Privacy for Tensor-Valued Queries IEEE Transactions on Information Forensics & Security (TIFS), 2021,
[7] Achieving Adversarial Robustness via Sparsity Machine Learning, 2021,
[8]Xiang Liyao. A secure data collection strategy using mobile vehicles joint UAVs in smart city Computer Networks, 2021,
[9] Context-Aware Compilation of DNN Training Pipelines across Edge and Cloud ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2021,
[10] Differentially-Private Deep Learning with Directional Noise IEEE Transactions on Mobile Computing (TMC), 2021,
[11] Speedup Robust Graph Structure Learning with Low-Rank Information 30th ACM International Conference on Information and Knowledge Management (CIKM), 2021,
[12] Privacy Budgeting for Growing Machine Learning Datasets IEEE International Conference on Computer Communications (INFOCOM), 2021,
[13] Achieving Consensus in Privacy-Preserving Decentralized Learning Proceedings - International Conference on Distributed Computing Systems, 2020,
[14] Context-Aware Deep Model Compression for Edge Cloud Computing Proceedings - International Conference on Distributed Computing Systems, 2020,
[15] Interpretable Complex-Valued Neural Networks for Privacy Protection 2020,
total23 1/2
first
previous
next
last
Page
沪ICP备05052060 版权所有©上海交通大学
Click:
