Wenxuan Bao

Proceedings of the ACM Asia Conference on Computer and Communications Security, 2026

Panda: Test-Time Adaptation with Negative Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Mint: A Simple Test-Time Adaptation of Vision-Language Models against Common Corruptions.

[BibT_eX]

[DOI]

Ruxi Deng

CoRR, October, 2025

DGL-RSIS: Decoupling Global Spatial Context and Local Class Semantics for Training-Free Remote Sensing Image Segmentation.

[BibT_eX]

[DOI]

CoRR, September, 2025

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

[BibT_eX]

[DOI]

CoRR, August, 2025

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

[BibT_eX]

[DOI]

Malvika Jadhav

CoRR, August, 2025

Inference Attacks for X-Vector Speaker Anonymization.

[BibT_eX]

[DOI]

Luke A. Bauer

Malvika Jadhav

Proceedings of the 2025 IEEE Security and Privacy, 2025

Provably Secure Covert Messaging Using Image-Based Diffusion Processes.

[BibT_eX]

[DOI]

Luke A. Bauer

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

Deep Learning with Plausible Deniability.

[BibT_eX]

[DOI]

Yiwei Cai

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Enabling Plausible Deniability in Flash-based Storage through Data Permutation.

[BibT_eX]

[DOI]

Weidong Zhu

Sara Rampazzi

Kevin R. B. Butler

Proceedings of the IEEE Annual Computer Security Applications Conference, 2025

2024

AdaRC: Mitigating Graph Structure Shifts during Test-Time.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

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

BOBA: Byzantine-Robust Federated Learning with Label Skewness.

[BibT_eX]

[DOI]

Jun Wu

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

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

[BibT_eX]

[DOI]

Proceedings of the Annual Computer Security Applications Conference, 2024

2023

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Remote. Sens., February, 2023

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

[BibT_eX]

[DOI]

Remote. Sens., February, 2023

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

[BibT_eX]

[DOI]

Remote. Sens., January, 2023

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

[BibT_eX]

[DOI]

SIGKDD Explor., 2023

Understanding the Effect of Data Augmentation on Knowledge Distillation.

[BibT_eX]

[DOI]

CoRR, 2023

Adaptive Test-Time Personalization for Federated Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Francesco Pittaluga

Vijay Kumar B. G

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.

[BibT_eX]

[DOI]

Jun Wu

Elizabeth A. Ainsworth

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

Optimizing the Collaboration Structure in Cross-Silo Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

A Zoning Earthquake Casualty Prediction Model Based on Machine Learning.

[BibT_eX]

[DOI]

Remote. Sens., 2022

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

[BibT_eX]

[DOI]

Remote. Sens., 2022

BOBA: Byzantine-Robust Federated Learning with Label Skewness.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

Luke A. Bauer