Performance simulation and experimental evaluation for a magnet-rheological damper under impact load. - Hongsheng Hu; Suxiang Qian; Jiong Wang; Zhaochun Li (ROBIO, 2008)

Control system design and performance test of a magnetorheological fluid fan clutch. - Hongsheng Hu; Liang Cui; Jiong Wang (ICCA, 2010)

A Dual-Side-Detuned Series-Series Compensated Resonant Converter for Wide Charging Region in a Wireless Power Transfer System. - Hao Feng 004; Tao Cai; Shanxu Duan; Xiaoming Zhang 003; Hongsheng Hu; Jintao Niu (IEEE Trans. Ind. Electron., 2018)

A Control Strategy for Efficiency Optimization and Wide ZVS Operation Range in Bidirectional Inductive Power Transfer System. - Xiaoming Zhang 003; Tao Cai; Shanxu Duan; Hao Feng 004; Hongsheng Hu; Jintao Niu; Changsong Chen 001 (IEEE Trans. Ind. Electron., 2019)

A Locality Sensitive Hashing Based Approach for Federated Recommender System. - Hongsheng Hu; Gillian Dobbie; Zoran Salcic; Meng Liu 007; Jianbing Zhang; Xuyun Zhang (CCGRID, 2020)

Source Inference Attacks in Federated Learning. - Hongsheng Hu; Zoran Salcic; Lichao Sun 001; Gillian Dobbie; Xuyun Zhang (ICDM, 2021)

EAR: An Enhanced Adversarial Regularization Approach against Membership Inference Attacks. - Hongsheng Hu; Zoran Salcic; Gillian Dobbie; Yi Chen 008; Xuyun Zhang (IJCNN, 2021)

Membership Inference Attacks on Machine Learning: A Survey. - Hongsheng Hu; Zoran Salcic; Gillian Dobbie; Xuyun Zhang (CoRR, 2021)

Clustering-based Efficient Privacy-preserving Face Recognition Scheme without Compromising Accuracy. - Meng Liu 007; Hongsheng Hu; Haolong Xiang; Chi Yang; Lingjuan Lyu; Xuyun Zhang (ACM Trans. Sens. Networks, 2021)

DeepiForest: A Deep Anomaly Detection Framework with Hashing Based Isolation Forest. - Haolong Xiang; Hongsheng Hu; Xuyun Zhang (ICDM, 2022)

Membership Inference via Backdooring. - Hongsheng Hu; Zoran Salcic; Gillian Dobbie; Jinjun Chen; Lichao Sun 001; Xuyun Zhang (IJCAI, 2022)

Sports match prediction model for training and exercise using attention-based LSTM network. - Qiyun Zhang; Xuyun Zhang; Hongsheng Hu; Caizhong Li; Yinping Lin; Rui Ma (Digit. Commun. Networks, 2022)

Finite-time event-triggered control for switched affine systems with time-varying delay under state-dependent switching. - Hongsheng Hu; Shipei Huang; Hui Wu (Int. J. Syst. Sci., 2022)

A Current-Sharing Compensation Method for High-Power-Medium-Frequency Coils Composed of Multiple Branches Connected in Parallel. - Hongsheng Hu; Shanxu Duan; Tao Cai; Pingkang Zheng (IEEE Trans. Ind. Electron., 2022)

Membership Inference Attacks on Machine Learning: A Survey. - Hongsheng Hu; Zoran Salcic; Lichao Sun 001; Gillian Dobbie; Philip S. Yu; Xuyun Zhang (ACM Comput. Surv., 2022)

POSTER: ML-Compass: A Comprehensive Assessment Framework for Machine Learning Models. - Zhibo Jin; Zhiyu Zhu; Hongsheng Hu; Minhui Xue 001; Huaming Chen (AsiaCCS, 2023)

OptIForest: Optimal Isolation Forest for Anomaly Detection. - Haolong Xiang; Xuyun Zhang; Hongsheng Hu; Lianyong Qi; Wanchun Dou; Mark Dras; Amin Beheshti; Xiaolong Xu 001 (IJCAI, 2023)

Differentially private locality sensitive hashing based federated recommender system. - Hongsheng Hu; Gillian Dobbie; Zoran Salcic; Meng Liu 007; Jianbing Zhang; Lingjuan Lyu; Xuyun Zhang (Concurr. Comput. Pract. Exp., 2023)

Watermarking Text Data on Large Language Models for Dataset Copyright Protection. - Yixin Liu 002; Hongsheng Hu; Xuyun Zhang; Lichao Sun 001 (CoRR, 2023)

Symmetric Self-Paced Learning for Domain Generalization. - Di Zhao; Yun Sing Koh; Gillian Dobbie; Hongsheng Hu; Philippe Fournier-Viger (AAAI, 2024)

Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought. - Xiaoxiao Chi; Xuyun Zhang; Yan Wang 002; Lianyong Qi; Amin Beheshti; Xiaolong Xu 001; Kim-Kwang Raymond Choo; Shuo Wang 026; Hongsheng Hu (IJCAI, 2024)

A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services. - Hongsheng Hu; Shuo Wang 012; Jiamin Chang; Haonan Zhong; Ruoxi Sun 001; Shuang Hao 001; Haojin Zhu; Minhui Xue 001 (NDSS, 2024)

DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices. - Yongzhe Jia; Xuyun Zhang; Hongsheng Hu; Kim-Kwang Raymond Choo; Lianyong Qi; Xiaolong Xu 001; Amin Beheshti; Wanchun Dou (NeurIPS, 2024)

Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning. - Hongsheng Hu; Shuo Wang 012; Tian Dong; Minhui Xue 001 (SP, 2024)

LACMUS: Latent Concept Masking for General Robustness Enhancement of DNNs. - Shuo Wang 012; Hongsheng Hu; Jiamin Chang; Benjamin Zi Hao Zhao; Minhui Xue 001 (SP, 2024)

DNN-GP: Diagnosing and Mitigating Model's Faults Using Latent Concepts. - Shuo Wang 012; Hongsheng Hu; Jiamin Chang; Benjamin Zi Hao Zhao; Qi Alfred Chen; Minhui Xue 001 (USENIX Security Symposium, 2024)

Cardinality Counting in "Alcatraz": A Privacy-aware Federated Learning Approach. - Nan Wu; Xin Yuan 004; Shuo Wang 012; Hongsheng Hu; Minhui Xue 001 (WWW, 2024)

Releasing Malevolence from Benevolence: The Menace of Benign Data on Machine Unlearning. - Binhao Ma; Tianhang Zheng; Hongsheng Hu; Di Wang 015; Shuo Wang; Zhongjie Ba; Zhan Qin; Kui Ren 001 (CoRR, 2024)

Intellectual Property Protection for Deep Learning Model and Dataset Intelligence. - Yongqi Jiang; Yansong Gao 001; Chunyi Zhou; Hongsheng Hu; Anmin Fu; Willy Susilo (CoRR, 2024)

AI-Compass: A Comprehensive and Effective Multi-module Testing Tool for AI Systems. - Zhiyu Zhu; Zhibo Jin; Hongsheng Hu; Minhui Xue 001; Ruoxi Sun 001; Seyit Camtepe; Praveen Gauravaram; Huaming Chen (CoRR, 2024)

Adapting to Cyber Threats: A Phishing Evolution Network (PEN) Framework for Phishing Generation and Analyzing Evolution Patterns using Large Language Models. - Fengchao Chen; Tingmin Wu; Van Nguyen 002; Shuo Wang 012; Hongsheng Hu; Alsharif Abuadbba; Carsten Rudolph (CoRR, 2024)

ExpShield: Safeguarding Web Text from Unauthorized Crawling and Language Modeling Exploitation. - Ruixuan Liu; Toan Tran; Tianhao Wang 001; Hongsheng Hu; Shuo Wang; Li Xiong 001 (CoRR, 2024)

H∞ security control for 2-D switched time delay systems under arbitrary delay time-variation rate and stochastic cyber attacks. - Hongsheng Hu; Yunhe Meng; Shipei Huang (J. Frankl. Inst., 2024)

Source Inference Attacks: Beyond Membership Inference Attacks in Federated Learning. - Hongsheng Hu; Xuyun Zhang; Zoran Salcic; Lichao Sun 001; Kim-Kwang Raymond Choo; Gillian Dobbie (IEEE Trans. Dependable Secur. Comput., 2024)

Modularized Inductive Power Transfer Systems With Inherent Impedance Decoupling for High-Power Applications. - Hongsheng Hu; Jingyuan Su; Fengwei Chen; Yue Sun (IEEE Trans. Ind. Electron., 2024)

Enhancing Adversarial Transferability with Checkpoints of a Single Model's Training. - Shixin Li 001; Chaoxiang He; Xiaojing Ma 002; Bin Benjamin Zhu; Shuo Wang; Hongsheng Hu; Dongmei Zhang 001; Linchen Yu (CVPR, 2025)

MGF-ESE: An Enhanced Semantic Extractor with Multi-Granularity Feature Fusion for Code Summarization. - Xiaolong Xu 001; Yuxin Cao; Hongsheng Hu; Haolong Xiang; Lianyong Qi; Junqun Xiong; Wanchun Dou (WWW, 2025)

From Pixels to Trajectory: Universal Adversarial Example Detection via Temporal Imprints. - Yansong Gao 001; Huaibing Peng; Hua Ma; Zhiyang Dai; Shuo Wang 012; Hongsheng Hu; Anmin Fu; Minhui Xue 001 (CoRR, 2025)

When Better Features Mean Greater Risks: The Performance-Privacy Trade-Off in Contrastive Learning. - Ruining Sun; Hongsheng Hu; Wei Luo 001; Zhaoxi Zhang; Yanjun Zhang; Haizhuan Yuan; Leo Yu Zhang (CoRR, 2025)

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage. - Na Li; Yansong Gao 001; Hongsheng Hu; Boyu Kuang; Anmin Fu (CoRR, 2025)

BadFU: Backdoor Federated Learning through Adversarial Machine Unlearning. - Bingguang Lu; Hongsheng Hu; Yuantian Miao; Shaleeza Sohail; Chaoxiang He; Shuo Wang; Xiao Chen (CoRR, 2025)