Xiaoyu Zhang

Orcid: 0000-0002-5702-5749

Affiliations:

Xidian University, State Key Laboratory of Integrated Service Networks, Xi'an, China (PhD 2019)

According to our database¹, Xiaoyu Zhang authored at least 42 papers between 2017 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

Mitigating Data Scarcity in Time Series Analysis: A Foundation Model with Series-Symbol Data Generation.

[BibT_eX]

[DOI]

CoRR, February, 2025

DeepAW: A Customized DNN Watermarking Scheme Against Unreliable Participants.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2025

Purifier$^{+}$: Plug-and-Play Backdoor Mitigation for Pre-Trained Models via Activation Alignment.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2025

DuplexGuard: Safeguarding Deletion Right in Machine Unlearning via Duplex Watermarking.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2025

MPGStack: Membership Privacy Protection on Graph Data via Model Stacking.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2025

TSGGuide: Recommendation Guide for Multivariate Time Series Generation.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Zeroth-Order Federated Private Tuning for Pretrained Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Information Security and Privacy - 30th Australasian Conference, 2025

B2Opt: Learning to Optimize Black-box Optimization with Little Budget.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

MODA: Model Ownership Deprivation Attack in Asynchronous Federated Learning.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2024

MaskArmor: Confidence masking-based defense mechanism for GNN against MIA.

[BibT_eX]

[DOI]

Inf. Sci., 2024

GLHF: General Learned Evolutionary Algorithm Via Hyper Functions.

[BibT_eX]

[DOI]

CoRR, 2024

Rapid Plug-in Defenders.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Pretrained Optimization Model for Zero-Shot Black Box Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Balancing Generalization and Robustness in Adversarial Training via Steering through Clean and Adversarial Gradient Directions.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

GDR-GMA: Machine Unlearning via Direction-Rectified and Magnitude-Adjusted Gradients.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Automated Loss function Search for Class-imbalanced Node Classification.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

A survey on privacy inference attacks and defenses in cloud-based Deep Neural Network.

[BibT_eX]

[DOI]

Comput. Stand. Interfaces, 2023

Pre-trained transformer for adversarial purification.

[BibT_eX]

[DOI]

CoRR, 2023

B2Opt: Learning to Optimize Black-box Optimization with Little Budget.

[BibT_eX]

[DOI]

CoRR, 2023

ACQ: Few-shot Backdoor Defense via Activation Clipping and Quantizing.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

MUter: Machine Unlearning on Adversarially Trained Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Explaining Adversarial Robustness of Neural Networks from Clustering Effect Perspective.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ERM-KTP: Knowledge-Level Machine Unlearning via Knowledge Transfer.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Closed-form Machine Unlearning for Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Chameleon DNN Watermarking: Dynamically Public Model Ownership Verification.

[BibT_eX]

[DOI]

Proceedings of the Information Security Applications - 23rd International Conference, 2022

Purifier: Plug-and-play Backdoor Mitigation for Pre-trained Models Via Anomaly Activation Suppression.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

GAME: Generative-Based Adaptive Model Extraction Attack.

[BibT_eX]

[DOI]

Proceedings of the Computer Security - ESORICS 2022, 2022

Membership Inference Attacks Against Robust Graph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Cyberspace Safety and Security - 14th International Symposium, 2022

2021

Privacy-preserving and verifiable online crowdsourcing with worker updates.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Privacy Inference Attacks and Defenses in Cloud-based Deep Neural Network: A Survey.

[BibT_eX]

[DOI]

CoRR, 2021

CECMLP: New Cipher-Based Evaluating Collaborative Multi-layer Perceptron Scheme in Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Applied Cryptography and Network Security, 2021

2020

DeepPAR and DeepDPA: Privacy Preserving and Asynchronous Deep Learning for Industrial IoT.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2020

Secure multiparty learning from the aggregation of locally trained models.

[BibT_eX]

[DOI]

J. Netw. Comput. Appl., 2020

A High-Recall Membership Inference Attack Based on Confidence-Thresholding Method with Relaxed Assumption.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020

2019

New publicly verifiable computation for batch matrix multiplication.

[BibT_eX]

[DOI]

Inf. Sci., 2019

Non-interactive privacy-preserving neural network prediction.

[BibT_eX]

[DOI]

Xu Ma

Xiaofeng Chen

Xiaoyu Zhang

Inf. Sci., 2019

Secure Multiparty Learning from Aggregation of Locally Trained Models.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Cyber Security - Second International Conference, 2019

2018

Verifiable privacy-preserving single-layer perceptron training scheme in cloud computing.

[BibT_eX]

[DOI]

Soft Comput., 2018

EPSLP: Efficient and privacy-preserving single-layer perceptron learning in cloud computing.

[BibT_eX]

[DOI]

J. High Speed Networks, 2018

DedupDUM: Secure and scalable data deduplication with dynamic user management.

[BibT_eX]

[DOI]

Inf. Sci., 2018

2017

Security Analysis of "PSLP: Privacy-Preserving Single-Layer Perceptron Learning for e-Healthcare".

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2017

New Publicly Verifiable Computation for Batch Matrix Multiplication.

[BibT_eX]

[DOI]

Proceedings of the Green, Pervasive, and Cloud Computing - 12th International Conference, 2017

Xiaoyu Zhang

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