Wenxuan Bao

According to our database, Wenxuan Bao authored at least 28 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Towards Reliable and Generalizable Differentially Private Machine Learning (Extended Version).

Wenxuan Bao, Vincent Bindschaedler

CoRR, August, 2025

Thwart Me If You Can: An Empirical Analysis of Android Platform Armoring Against Stalkerware.

Malvika Jadhav, Wenxuan Bao, Vincent Bindschaedler

CoRR, August, 2025

Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning.

Wenxuan Bao, Ruxi Deng, Ruizhong Qiu, Tianxin Wei, Hanghang Tong, Jingrui He

CoRR, July, 2025

Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics.

Zhichen Zeng, Ruizhong Qiu, Wenxuan Bao, Tianxin Wei, Xiao Lin, Yuchen Yan, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong

CoRR, May, 2025

Inference Attacks for X-Vector Speaker Anonymization.

Luke A. Bauer, Wenxuan Bao, Malvika Jadhav, Vincent Bindschaedler

Proceedings of the 2025 IEEE Security and Privacy, 2025

Provably Secure Covert Messaging Using Image-Based Diffusion Processes.

Luke A. Bauer, Wenxuan Bao, Vincent Bindschaedler

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2025

Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization.

Tianxin Wei, Yifan Chen, Xinrui He, Wenxuan Bao, Jingrui He

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Ask, and it shall be given: On the Turing completeness of prompting.

Ruizhong Qiu, Zhe Xu, Wenxuan Bao, Hanghang Tong

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation.

Wenxuan Bao, Zhichen Zeng, Zhining Liu, Hanghang Tong, Jingrui He

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

AdaRC: Mitigating Graph Structure Shifts during Test-Time.

Wenxuan Bao, Zhichen Zeng, Zhining Liu, Hanghang Tong, Jingrui He

CoRR, 2024

FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning.

Rishub Tamirisa, Chulin Xie, Wenxuan Bao, Andy Zhou, Ron Arel, Aviv Shamsian

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

BOBA: Byzantine-Robust Federated Learning with Label Skewness.

Wenxuan Bao, Jun Wu, Jingrui He

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

R+R: Towards Reliable and Generalizable Differentially Private Machine Learning.

Wenxuan Bao, Vincent Bindschaedler

Proceedings of the Annual Computer Security Applications Conference, 2024

2023

A peer-to-peer file storage and sharing system based on consortium blockchain.

Shaoliang Peng, Wenxuan Bao, Hao Liu, Xia Xiao, Jiandong Shang, Lin Han, Shan Wang, Xiaolan Xie, Yang Xu

Future Gener. Comput. Syst., April, 2023

An Object-Oriented Method for Extracting Single-Object Aquaculture Ponds from 10 m Resolution Sentinel-2 Images on Google Earth Engine.

Boyi Li, Adu Gong, Zikun Chen, Xiang Pan, Lingling Li, Jinglin Li, Wenxuan Bao

Remote. Sens., February, 2023

Urban Tree Canopy Mapping Based on Double-Branch Convolutional Neural Network and Multi-Temporal High Spatial Resolution Satellite Imagery.

Shuaiqiang Chen, Meng Chen, Bingyu Zhao, Ting Mao, Jianjun Wu, Wenxuan Bao

Remote. Sens., February, 2023

Mapping Population Distribution with High Spatiotemporal Resolution in Beijing Using Baidu Heat Map Data.

Wenxuan Bao, Adu Gong, Tong Zhang, Yiran Zhao, Boyi Li, Shuaiqiang Chen

Remote. Sens., January, 2023

Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey.

Dongqi Fu, Wenxuan Bao, Ross Maciejewski, Hanghang Tong, Jingrui He

SIGKDD Explor., 2023

Understanding the Effect of Data Augmentation on Knowledge Distillation.

Ziqi Wang, Chi Han, Wenxuan Bao, Heng Ji

CoRR, 2023

Adaptive Test-Time Personalization for Federated Learning.

Wenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning.

Wenxuan Bao, Francesco Pittaluga, Vijay Kumar B. G, Vincent Bindschaedler

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Personalized Federated Learning with Parameter Propagation.

Jun Wu, Wenxuan Bao, Elizabeth A. Ainsworth, Jingrui He

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Optimizing the Collaboration Structure in Cross-Silo Federated Learning.

Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He

Proceedings of the International Conference on Machine Learning, 2023

2022

A Zoning Earthquake Casualty Prediction Model Based on Machine Learning.

Boyi Li, Adu Gong, Tingting Zeng, Wenxuan Bao, Can Xu, Zhiqing Huang

Remote. Sens., 2022

High-Precision Population Spatialization in Metropolises Based on Ensemble Learning: A Case Study of Beijing, China.

Wenxuan Bao, Adu Gong, Yiran Zhao, Shuaiqiang Chen, Wanru Ba, Yuan He

Remote. Sens., 2022

BOBA: Byzantine-Robust Federated Learning with Label Skewness.

Wenxuan Bao, Jingrui He

CoRR, 2022

On the Importance of Architecture and Feature Selection in Differentially Private Machine Learning.

Wenxuan Bao, Luke A. Bauer, Vincent Bindschaedler

CoRR, 2022

2020

Deep Grouping Model for Unified Perceptual Parsing.

Zhiheng Li, Wenxuan Bao, Jiayang Zheng, Chenliang Xu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020