Xiaoyu Zhang

According to our database, Xiaoyu Zhang authored at least 29 papers between 2017 and 2024.

Collaborative distances:

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

2024

MODA: Model Ownership Deprivation Attack in Asynchronous Federated Learning.

Xiaoyu Zhang, Shen Lin, Chao Chen, Xiaofeng Chen

IEEE Trans. Dependable Secur. Comput., 2024

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

Chenyang Chen, Xiaoyu Zhang, Hongyi Qiu, Jian Lou, Zhengyang Liu, Xiaofeng Chen

Inf. Sci., 2024

Machine Unlearning in Forgettability Sequence.

Junjie Chen, Qian Chen, Jian Lou, Xiaoyu Zhang, Kai Wu, Zilong Wang

CoRR, 2024

GLHF: General Learned Evolutionary Algorithm Via Hyper Functions.

Xiaobin Li, Kai Wu, Yujian Betterest Li, Xiaoyu Zhang, Handing Wang, Jing Liu

CoRR, 2024

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

Haoyu Tong, Xiaoyu Zhang, Yulin Jin, Jian Lou, Kai Wu, Xiaofeng Chen

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.

Shen Lin, Xiaoyu Zhang, Willy Susilo, Xiaofeng Chen, Jun Liu

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.

Xinyu Guo, Kai Wu, Xiaoyu Zhang, Jing Liu

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.

Xiaoyu Zhang, Chao Chen, Yi Xie, Xiaofeng Chen, Jun Zhang, Yang Xiang

Comput. Stand. Interfaces, 2023

Pre-trained transformer for adversarial purification.

Kai Wu, Yujian Betterest Li, Xiaoyu Zhang, Handing Wang, Jing Liu

CoRR, 2023

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

Xiaobin Li, Kai Wu, Xiaoyu Zhang, Handing Wang, Jing Liu

CoRR, 2023

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

Yulin Jin, Xiaoyu Zhang, Jian Lou, Xiaofeng Chen

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

MUter: Machine Unlearning on Adversarially Trained Models.

Junxu Liu, Mingsheng Xue, Jian Lou, Xiaoyu Zhang, Li Xiong, Zhan Qin

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

Explaining Adversarial Robustness of Neural Networks from Clustering Effect Perspective.

Yulin Jin, Xiaoyu Zhang, Jian Lou, Xu Ma, Zilong Wang, Xiaofeng Chen

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

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

Shen Lin, Xiaoyu Zhang, Chenyang Chen, Xiaofeng Chen, Willy Susilo

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

Closed-form Machine Unlearning for Matrix Factorization.

Shuijing Zhang, Jian Lou, Li Xiong, Xiaoyu Zhang, Jing Liu

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

2022

Chameleon DNN Watermarking: Dynamically Public Model Ownership Verification.

Wei Li, Xiaoyu Zhang, Shen Lin, Xinbo Ban, Xiaofeng Chen

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

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

Xiaoyu Zhang, Yulin Jin, Tao Wang, Jian Lou, Xiaofeng Chen

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

GAME: Generative-Based Adaptive Model Extraction Attack.

Yi Xie, Mengdie Huang, Xiaoyu Zhang, Changyu Dong, Willy Susilo, Xiaofeng Chen

Proceedings of the Computer Security - ESORICS 2022, 2022

Membership Inference Attacks Against Robust Graph Neural Network.

Zhengyang Liu, Xiaoyu Zhang, Chenyang Chen, Shen Lin, Jingjin Li

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

2021

Privacy-preserving and verifiable online crowdsourcing with worker updates.

Xiaoyu Zhang, Xiaofeng Chen, Hongyang Yan, Yang Xiang

Inf. Sci., 2021

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

Xiaoyu Zhang, Chao Chen, Yi Xie, Xiaofeng Chen, Jun Zhang, Yang Xiang

CoRR, 2021

2020

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

Xiaoyu Zhang, Xiaofeng Chen, Joseph K. Liu, Yang Xiang

IEEE Trans. Ind. Informatics, 2020

Secure multiparty learning from the aggregation of locally trained models.

Xu Ma, Cunmei Ji, Xiaoyu Zhang, Jianfeng Wang, Jin Li, Kuan-Ching Li, Xiaofeng Chen

J. Netw. Comput. Appl., 2020

2019

New publicly verifiable computation for batch matrix multiplication.

Xiaoyu Zhang, Tao Jiang, Kuan-Ching Li, Aniello Castiglione, Xiaofeng Chen

Inf. Sci., 2019

Non-interactive privacy-preserving neural network prediction.

Xu Ma, Xiaofeng Chen, Xiaoyu Zhang

Inf. Sci., 2019

Secure Multiparty Learning from Aggregation of Locally Trained Models.

Xu Ma, Cunmei Ji, Xiaoyu Zhang, Jianfeng Wang, Jin Li, Kuan-Ching Li

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

2018

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

Xiaoyu Zhang, Xiaofeng Chen, Jianfeng Wang, Zhihui Zhan, Jin Li

Soft Comput., 2018

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

Haoran Yuan, Xiaofeng Chen, Tao Jiang, Xiaoyu Zhang, Zheng Yan, Yang Xiang

Inf. Sci., 2018

2017

New Publicly Verifiable Computation for Batch Matrix Multiplication.

Xiaoyu Zhang, Tao Jiang, Kuan-Ching Li, Xiaofeng Chen

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