Ziyao Liu

Orcid: 0000-0003-4060-0839

According to our database1, Ziyao Liu authored at least 42 papers between 2016 and 2025.

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Bibliography

2025
Improving Security in IoT-Based Human Activity Recognition: A Correlation-Based Anomaly Detection Approach.
IEEE Internet Things J., April, 2025

Deep Learning Approaches for Anti-Money Laundering on Mobile Transactions: Review, Framework, and Directions.
CoRR, March, 2025

A Survey on Federated Unlearning: Challenges, Methods, and Future Directions.
ACM Comput. Surv., January, 2025

An Investigation into Value Misalignment in LLM-Generated Texts for Cultural Heritage.
CoRR, January, 2025

Privacy-Preserving Federated Unlearning With Certified Client Removal.
IEEE Trans. Inf. Forensics Secur., 2025

Toward Efficient and Certified Recovery From Poisoning Attacks in Federated Learning.
IEEE Trans. Inf. Forensics Secur., 2025

Guaranteeing Data Privacy in Federated Unlearning With Dynamic User Participation.
IEEE Trans. Dependable Secur. Comput., 2025

Threats, Attacks, and Defenses in Machine Unlearning: A Survey.
IEEE Open J. Comput. Soc., 2025

MUSE-VFL: Multi-party Unified System for Private and Communication Efficient Backpropagation in Vertical Federated Learning.
IACR Cryptol. ePrint Arch., 2025

Enhancing AI safety of machine unlearning for ensembled models.
Appl. Soft Comput., 2025

Why Multi-Interest Fairness Matters: Hypergraph Contrastive Multi-Interest Learning for Fair Conversational Recommender System.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Compact Lifting for NTT-Unfriendly Modulus.
Proceedings of the Information Security and Privacy - 30th Australasian Conference, 2025

2024
Trustworthy, Responsible, and Safe AI: A Comprehensive Architectural Framework for AI Safety with Challenges and Mitigations.
CoRR, 2024

Threats, Attacks, and Defenses in Machine Unlearning: A Survey.
CoRR, 2024

Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning.
CoRR, 2024

3D Face Reconstruction Using A Spectral-Based Graph Convolution Encoder.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Object-level Copy-Move Forgery Image Detection based on Inconsistency Mining.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

LinkGuard: Link Locally Privacy-Preserving Graph Neural Networks with Integrated Denoising and Private Learning.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Unbridled Icarus: A Survey of the Potential Perils of Image Inputs in Multimodal Large Language Model Security.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

Towards Evaluating the Robustness of Automatic Speech Recognition Systems via Audio Style Transfer.
Proceedings of the 2nd ACM Workshop on Secure and Trustworthy Deep Learning Systems, 2024

Malicious Unlearning in Ensemble Models.
Proceedings of the 21st Annual International Conference on Privacy, Security and Trust, 2024

LEO Satellite-Enabled Networks: A Privacy-Preserving Framework for Spectrum Pricing and Power Control Optimization.
Proceedings of the 20th International Conference on Mobility, Sensing and Networking, 2024

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation.
Proceedings of the IEEE International Conference on Big Data, 2024

2023
Understanding Security in Smart City Domains From the ANT-Centric Perspective.
IEEE Internet Things J., July, 2023

MPC-enabled privacy-preserving machine learning
PhD thesis, 2023

Long-Term Privacy-Preserving Aggregation With User-Dynamics for Federated Learning.
IEEE Trans. Inf. Forensics Secur., 2023

Efficient Dropout-Resilient Aggregation for Privacy-Preserving Machine Learning.
IEEE Trans. Inf. Forensics Secur., 2023

A Survey on Federated Unlearning: Challenges, Methods, and Future Directions.
CoRR, 2023

A Learning-based Incentive Mechanism for Mobile AIGC Service in Decentralized Internet of Vehicles.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

Privacy-Enhanced Knowledge Transfer with Collaborative Split Learning over Teacher Ensembles.
Proceedings of the 2023 Secure and Trustworthy Deep Learning Systems Workshop, 2023

A Practical Intrusion Detection System Trained on Ambiguously Labeled Data for Enhancing IIoT Security.
Proceedings of the 9th ACM Cyber-Physical System Security Workshop, 2023

2022
Privacy-Preserving Anomaly Detection in Cloud Manufacturing Via Federated Transformer.
IEEE Trans. Ind. Informatics, 2022

Privacy-Preserving Aggregation in Federated Learning: A Survey.
CoRR, 2022

2021
Privacy-Enhanced Federated Learning with Weighted Aggregation.
Proceedings of the Security and Privacy in Social Networks and Big Data, 2021

2020
Secure Weighted Aggregation in Federated Learning.
CoRR, 2020

MPC-enabled Privacy-Preserving Neural Network Training against Malicious Attack.
CoRR, 2020

2019
A Survey on Applications of Game Theory in Blockchain.
CoRR, 2019

A Survey on Blockchain: A Game Theoretical Perspective.
IEEE Access, 2019

2017
Differential coherent accumulation acquisition algorithm for DSSS signals on FPGA platform.
Proceedings of the 2017 IEEE/CIC International Conference on Communications in China, 2017

LUT-Based Efficient Impulse Shaping for Direct Synthesizing Digital Communication Signals at Arbitrary Symbol Rate.
Proceedings of the Communications and Networking, 2017

Parallel Symbol Timing Recovery Using FPGA for 600 Msps QPSK.
Proceedings of the Communications and Networking, 2017

2016
An overview of multi-antenna technologies for space-ground integrated networks.
Sci. China Inf. Sci., 2016


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