Ziyao Liu

66 papers B 2C 2Journal 44Unranked 17
YearRankTypeTitle / Venue / Authors
2026 — conf
Attribution Techniques for Mitigating Hallucinated Information in RAG Systems: A Survey.
ICAIIC
Yuqing Zhao, Ziyao Liu, Yongsen Zheng, Kwok-Yan Lam
2026 J jnl
Attribution Techniques for Mitigating Hallucinated Information in RAG Systems: A Survey.
CoRR
Yuqing Zhao, Ziyao Liu, Yongsen Zheng, Kwok-Yan Lam
2026 J jnl
Computational wiretap coding: framework and practical construction.
Cybersecur.
Mengjie Huang, Xianhui Lu, Chen An, Ziyi Li, Ziyao Liu, Dongchi Han
2026 J jnl
Deep Learning Approaches for Anti-Money Laundering on Mobile Transactions: Review, Framework, and Directions.
IEEE Internet Things J.
Jiani Fan, Lwin Khin Shar, Ruichen Zhang, Ziyao Liu, Wenzhuo Yang, Dusit Niyato, Kwok-Yan Lam
2026 J jnl
Efficient Privacy-Preserving Retrieval Augmented Generation with Distance-Preserving Encryption.
CoRR
Huanyi Ye, Jiale Guo, Ziyao Liu, Kwok-Yan Lam
2026 — conf
FROC: A Unified Framework with Risk-Optimized Control for Machine Unlearning in LLMs.
ICAIIC
Si Qi Goh, Yongsen Zheng, Ziyao Liu, Sami Hormi, Kwok-Yan Lam
2026 J jnl
PDFL: A Privacy-Enhancing and Robust Poisoning Defense Federated Learning Scheme.
IEEE Trans. Inf. Forensics Secur.
Gang Wang, Huiwen Wu, Qingming Li, Ziyao Liu, Jun Zhao, Kwok-Yan Lam, Qingkuan Dong, Yao Yang, Li Zhou
2026 J jnl
The Shadow Self: Intrinsic Value Misalignment in Large Language Model Agents.
CoRR
Chen Chen, Kim Young Il, Yuan Yang, Wenhao Su, Yilin Zhang, Xueluan Gong, Qian Wang, Yongsen Zheng, Ziyao Liu, Kwok-Yan Lam
2025 J jnl
A Survey on Federated Unlearning: Challenges, Methods, and Future Directions.
ACM Comput. Surv.
Ziyao Liu, Yu Jiang, Jiyuan Shen, Minyi Peng, Kwok-Yan Lam, Xingliang Yuan, Xiaoning Liu
2025 J jnl
An Investigation into Value Misalignment in LLM-Generated Texts for Cultural Heritage.
CoRR
Fan Bu, Zheng Wang, Siyi Wang, Ziyao Liu
2025 J jnl
Certifying the Right to Be Forgotten: Primal-Dual Optimization for Sample and Label Unlearning in Vertical Federated Learning.
CoRR
Yu Jiang, Xindi Tong, Ziyao Liu, Xiaoxi Zhang, Kwok-Yan Lam, Chee-Wei Tan
2025 J jnl
Certifying the Right to Be Forgotten: Primal-Dual Optimization for Sample and Label Unlearning in Vertical Federated Learning.
IEEE Trans. Inf. Forensics Secur.
Yu Jiang, Xindi Tong, Ziyao Liu, Xiaoxi Zhang, Kwok-Yan Lam, Chee-Wei Tan
2025 — conf
Compact Lifting for NTT-Unfriendly Modulus.
ACISP (2)
Ying Liu, Xianhui Lu, Yu Zhang, Ruida Wang, Ziyao Liu, Kunpeng Wang
2025 J jnl
Deep Learning Approaches for Anti-Money Laundering on Mobile Transactions: Review, Framework, and Directions.
CoRR
Jiani Fan, Lwin Khin Shar, Ruichen Zhang, Ziyao Liu, Wenzhuo Yang, Dusit Niyato, Bomin Mao, Kwok-Yan Lam
2025 — conf
Efficient Privacy-Preserving Retrieval Augmented Generation with Distance-Preserving Encryption.
FLLM
Huanyi Ye, Jiale Guo, Ziyao Liu, Kwok-Yan Lam
2025 J jnl
Enhancing AI safety of machine unlearning for ensembled models.
Appl. Soft Comput.
Huanyi Ye, Jiale Guo, Ziyao Liu, Yu Jiang, Kwok-Yan Lam
2025 J jnl
FROC: A Unified Framework with Risk-Optimized Control for Machine Unlearning in LLMs.
CoRR
Si Qi Goh, Yongsen Zheng, Ziyao Liu, Sami Hormi, Kwok-Yan Lam
2025 J jnl
Guaranteeing Data Privacy in Federated Unlearning With Dynamic User Participation.
IEEE Trans. Dependable Secur. Comput.
Ziyao Liu, Yu Jiang, Weifeng Jiang, Jiale Guo, Jun Zhao, Kwok-Yan Lam
2025 J jnl
Improving Security in IoT-Based Human Activity Recognition: A Correlation-Based Anomaly Detection Approach.
IEEE Internet Things J.
Jiani Fan, Ziyao Liu, Hongyang Du, Jiawen Kang, Dusit Niyato, Kwok-Yan Lam
2025 J jnl
MUSE-VFL: Multi-party Unified System for Private and Communication Efficient Backpropagation in Vertical Federated Learning.
IACR Cryptol. ePrint Arch.
Ivan Tjuawinata, Yann Fraboni, Ziyao Liu, Jun Zhao, Pu Duan, Kwok-Yan Lam
2025 — conf
PolarKyber: Polished Kyber with Smaller Ciphertexts, Greater Security Redundancy, and Lower Decryption Failure Rate.
ICICS (1)
Chen An, Ziyao Liu, Xianhui Lu, Jingnan He
2025 J jnl
Privacy-Preserving Federated Unlearning With Certified Client Removal.
IEEE Trans. Inf. Forensics Secur.
Ziyao Liu, Huanyi Ye, Yu Jiang, Jiyuan Shen, Jiale Guo, Ivan Tjuawinata, Kwok-Yan Lam
2025 J jnl
Threats, Attacks, and Defenses in Machine Unlearning: A Survey.
IEEE Open J. Comput. Soc.
Ziyao Liu, Huanyi Ye, Chen Chen, Yongsen Zheng, Kwok-Yan Lam
2025 J jnl
Toward Efficient and Certified Recovery From Poisoning Attacks in Federated Learning.
IEEE Trans. Inf. Forensics Secur.
Yu Jiang, Jiyuan Shen, Ziyao Liu, Chee-Wei Tan, Kwok-Yan Lam
2025 — conf
Why Multi-Interest Fairness Matters: Hypergraph Contrastive Multi-Interest Learning for Fair Conversational Recommender System.
ACL (Findings)
Yongsen Zheng, Zongxuan Xie, Guohua Wang, Ziyao Liu, Liang Lin, Kwok-Yan Lam
2025 J jnl
Why Multi-Interest Fairness Matters: Hypergraph Contrastive Multi-Interest Learning for Fair Conversational Recommender System.
CoRR
Yongsen Zheng, Zongxuan Xie, Guohua Wang, Ziyao Liu, Liang Lin, Kwok-Yan Lam
2024 — conf
3D Face Reconstruction Using A Spectral-Based Graph Convolution Encoder.
WWW (Companion Volume)
Haoxin Xu, Zezheng Zhao, Yuxin Cao, Chunyu Chen, Hao Ge, Ziyao Liu
2024 J jnl
3D Face Reconstruction Using A Spectral-Based Graph Convolution Encoder.
CoRR
Haoxin Xu, Zezheng Zhao, Yuxin Cao, Chunyu Chen, Hao Ge, Ziyao Liu
2024 J jnl
A Learning-based Incentive Mechanism for Mobile AIGC Service in Decentralized Internet of Vehicles.
CoRR
Jiani Fan, Minrui Xu, Ziyao Liu, Huanyi Ye, Chaojie Gu, Dusit Niyato, Kwok-Yan Lam
2024 B conf
Efficient Federated Unlearning with Adaptive Differential Privacy Preservation.
IEEE Big Data
Yu Jiang, Xindi Tong, Ziyao Liu, Huanyi Ye, Chee-Wei Tan, Kwok-Yan Lam
2024 J jnl
Efficient Federated Unlearning with Adaptive Differential Privacy Preservation.
CoRR
Yu Jiang, Xindi Tong, Ziyao Liu, Huanyi Ye, Chee-Wei Tan, Kwok-Yan Lam
2024 J jnl
Guaranteeing Data Privacy in Federated Unlearning with Dynamic User Participation.
CoRR
Ziyao Liu, Yu Jiang, Weifeng Jiang, Jiale Guo, Jun Zhao, Kwok-Yan Lam
2024 — conf
LEO Satellite-Enabled Networks: A Privacy-Preserving Framework for Spectrum Pricing and Power Control Optimization.
MSN
Bowen Shen, Kwok-Yan Lam, Wenzhuo Yang, Ziyao Liu, Feng Li
2024 — conf
LinkGuard: Link Locally Privacy-Preserving Graph Neural Networks with Integrated Denoising and Private Learning.
WWW (Companion Volume)
Yuxin Qi, Xi Lin, Ziyao Liu, Gaolei Li, Jingyu Wang, Jianhua Li
2024 C conf
Malicious Unlearning in Ensemble Models.
PST
Huanyi Ye, Ziyao Liu, Yu Jiang, Jiale Guo, Kwok-Yan Lam
2024 — conf
Object-level Copy-Move Forgery Image Detection based on Inconsistency Mining.
WWW (Companion Volume)
Jingyu Wang, Niantai Jing, Ziyao Liu, Jie Nie, Yuxin Qi, Chi-Hung Chi, Kwok-Yan Lam
2024 J jnl
Object-level Copy-Move Forgery Image Detection based on Inconsistency Mining.
CoRR
Jingyu Wang, Niantai Jing, Ziyao Liu, Jie Nie, Yuxin Qi, Chi-Hung Chi, Kwok-Yan Lam
2024 J jnl
Privacy-Preserving Federated Unlearning with Certified Client Removal.
CoRR
Ziyao Liu, Huanyi Ye, Yu Jiang, Jiyuan Shen, Jiale Guo, Ivan Tjuawinata, Kwok-Yan Lam
2024 J jnl
Threats, Attacks, and Defenses in Machine Unlearning: A Survey.
CoRR
Ziyao Liu, Huanyi Ye, Chen Chen, Kwok-Yan Lam
2024 J jnl
Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning.
CoRR
Yu Jiang, Jiyuan Shen, Ziyao Liu, Chee Wei Tan, Kwok-Yan Lam
2024 — conf
Towards Evaluating the Robustness of Automatic Speech Recognition Systems via Audio Style Transfer.
SecTL@AsiaCCS
Weifei Jin, Yuxin Cao, Junjie Su, Qi Shen, Kai Ye, Derui Wang, Jie Hao, Ziyao Liu
2024 J jnl
Towards Evaluating the Robustness of Automatic Speech Recognition Systems via Audio Style Transfer.
CoRR
Weifei Jin, Yuxin Cao, Junjie Su, Qi Shen, Kai Ye, Derui Wang, Jie Hao, Ziyao Liu
2024 J jnl
Trustworthy, Responsible, and Safe AI: A Comprehensive Architectural Framework for AI Safety with Challenges and Mitigations.
CoRR
Chen Chen, Ziyao Liu, Weifeng Jiang, Goh Si Qi, Kwok-Yan Lam
2024 B conf
Unbridled Icarus: A Survey of the Potential Perils of Image Inputs in Multimodal Large Language Model Security.
SMC
Yihe Fan, Yuxin Cao, Ziyu Zhao, Ziyao Liu, Shaofeng Li
2024 J jnl
Unbridled Icarus: A Survey of the Potential Perils of Image Inputs in Multimodal Large Language Model Security.
CoRR
Yihe Fan, Yuxin Cao, Ziyu Zhao, Ziyao Liu, Shaofeng Li
2023 — conf
A Learning-based Incentive Mechanism for Mobile AIGC Service in Decentralized Internet of Vehicles.
VTC Fall
Jiani Fan, Minrui Xu, Ziyao Liu, Huanyi Ye, Chaojie Gu, Dusit Niyato, Kwok-Yan Lam
2023 — conf
A Practical Intrusion Detection System Trained on Ambiguously Labeled Data for Enhancing IIoT Security.
CPSS@AsiaCCS
Wenzhuo Yang, Zhaowei Chu, Jiani Fan, Ziyao Liu, Kwok-Yan Lam
2023 J jnl
A Survey on Federated Unlearning: Challenges, Methods, and Future Directions.
CoRR
Ziyao Liu, Yu Jiang, Jiyuan Shen, Minyi Peng, Kwok-Yan Lam, Xingliang Yuan
2023 J jnl
Efficient Dropout-Resilient Aggregation for Privacy-Preserving Machine Learning.
IEEE Trans. Inf. Forensics Secur.
Ziyao Liu, Jiale Guo, Kwok-Yan Lam, Jun Zhao
2023 J jnl
Long-Term Privacy-Preserving Aggregation With User-Dynamics for Federated Learning.
IEEE Trans. Inf. Forensics Secur.
Ziyao Liu, Hsiao-Ying Lin, Yamin Liu
2023 — —
MPC-enabled privacy-preserving machine learning
Ziyao Liu
2023 — conf
Privacy-Enhanced Knowledge Transfer with Collaborative Split Learning over Teacher Ensembles.
SecTL@AsiaCCS
Ziyao Liu, Jiale Guo, Mengmeng Yang, Wenzhuo Yang, Jiani Fan, Kwok-Yan Lam
2023 J jnl
Understanding Security in Smart City Domains From the ANT-Centric Perspective.
IEEE Internet Things J.
Jiani Fan, Wenzhuo Yang, Ziyao Liu, Jiawen Kang, Dusit Niyato, Kwok-Yan Lam, Hongyang Du
2022 J jnl
Efficient Dropout-resilient Aggregation for Privacy-preserving Machine Learning.
CoRR
Ziyao Liu, Jiale Guo, Kwok-Yan Lam, Jun Zhao
2022 J jnl
Privacy-Preserving Aggregation in Federated Learning: A Survey.
CoRR
Ziyao Liu, Jiale Guo, Wenzhuo Yang, Jiani Fan, Kwok-Yan Lam, Jun Zhao
2022 J jnl
Privacy-Preserving Anomaly Detection in Cloud Manufacturing Via Federated Transformer.
IEEE Trans. Ind. Informatics
Shiyao Ma, Jiangtian Nie, Jiawen Kang, Lingjuan Lyu, Ryan Wen Liu, Ruihui Zhao, Ziyao Liu, Dusit Niyato
2022 J jnl
Privacy-preserving Anomaly Detection in Cloud Manufacturing via Federated Transformer.
CoRR
Shiyao Ma, Jiangtian Nie, Jiawen Kang, Lingjuan Lyu, Ryan Wen Liu, Ruihui Zhao, Ziyao Liu, Dusit Niyato
2021 — conf
Privacy-Enhanced Federated Learning with Weighted Aggregation.
SocialSec
Jiale Guo, Ziyao Liu, Kwok-Yan Lam, Jun Zhao, Yiqiang Chen
2020 J jnl
MPC-enabled Privacy-Preserving Neural Network Training against Malicious Attack.
CoRR
Ziyao Liu, Ivan Tjuawinata, Chaoping Xing, Kwok-Yan Lam
2020 J jnl
Secure Weighted Aggregation in Federated Learning.
CoRR
Jiale Guo, Ziyao Liu, Kwok-Yan Lam, Jun Zhao, Yiqiang Chen, Chaoping Xing
2019 J jnl
A Survey on Applications of Game Theory in Blockchain.
CoRR
Ziyao Liu, Nguyen Cong Luong, Wenbo Wang, Dusit Niyato, Ping Wang, Ying-Chang Liang, Dong In Kim
2019 J jnl
A Survey on Blockchain: A Game Theoretical Perspective.
IEEE Access
Ziyao Liu, Nguyen Cong Luong, Wenbo Wang, Dusit Niyato, Ping Wang, Ying-Chang Liang, Dong In Kim
2017 C conf
Differential coherent accumulation acquisition algorithm for DSSS signals on FPGA platform.
ICCC
Nangen Zhang, Xinyu Gao, Fei Gao, Ziyao Liu
2017 — conf
LUT-Based Efficient Impulse Shaping for Direct Synthesizing Digital Communication Signals at Arbitrary Symbol Rate.
ChinaCom (2)
Ziyao Liu, Zhijie Wang, Jun Wang, Di Huang, Nangen Zhang
2017 — conf
Parallel Symbol Timing Recovery Using FPGA for 600 Msps QPSK.
ChinaCom (1)
Di Huang, Zhijie Wang, Jun Wang, Ziyao Liu
2016 J jnl
An overview of multi-antenna technologies for space-ground integrated networks.
Sci. China Inf. Sci.
Lei Gao, Shuo Zhang, Ziyao Liu, Jinyong Lin, Shuai Wang, Chengwen Xing