| Membership Inference Attacks on Machine Learning: A Survey H Hu, Z Salcic, L Sun, G Dobbie, PS Yu, X Zhang ACM Computing Surveys (CSUR) 54 (11s), 1-37, 2022 | 561 | 2022 |
| Source Inference Attacks in Federated Learning H Hu, Z Salcic, L Sun, G Dobbie, X Zhang 2021 IEEE International Conference on Data Mining (ICDM), 1102-1107, 2021 | 107 | 2021 |
| Sports Match Prediction Model for Training and Exercise Using Attention-based LSTM Network Q Zhang, X Zhang, H Hu, C Li, Y Lin, R Ma Digital Communications and Networks 8 (4), 508-515, 2022 | 47 | 2022 |
| Membership Inference via Backdooring H Hu, Z Salcic, G Dobbie, L Sun, X Zhang IJCAI-22, 2022 | 41 | 2022 |
| Differentially Private Locality Sensitive Hashing based Federated Recommender System H Hu, G Dobbie, Z Salcic, M Liu, J Zhang, L Lyu, X Zhang Concurrency and Computation: Practice and Experience 35 (14), e6233, 2023 | 31 | 2023 |
| A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services H Hu, S Wang, J Chang, H Zhong, R Sun, S Hao, H Zhu, M Xue Network and Distributed System Security Symposium (NDSS) 2024, 2024 | 25 | 2024 |
| Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning H Hu, S Wang, T Dong, M Xue IEEE Symposium on Security and Privacy (S&P) 2024, 2024 | 21 | 2024 |
| EAR: An Enhanced Adversarial Regularization Approach against Membership Inference Attacks H Hu, Z Salcic, G Dobbie, Y Chen, X Zhang 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 18 | 2021 |
| Watermarking text data on large language models for dataset copyright protection Y Liu, H Hu, X Zhang, L Sun arXiv preprint arXiv:2305.13257, 2023 | 17 | 2023 |
| Source Inference Attacks: Beyond Membership Inference Attacks in Federated Learning H Hu, X Zhang, Z Salcic, L Sun, KKR Choo, G Dobbie IEEE Transactions on Dependable and Secure Computing, 2023 | 13 | 2023 |
| OptIForest: Optimal Isolation Forest for Anomaly Detection H Xiang, X Zhang, H Hu, L Qi, W Dou, M Dras, A Beheshti, X Xu IJCAI-23, 2023 | 12 | 2023 |
| A Locality Sensitive Hashing based Approach for Federated Recommender System H Hu, G Dobbie, Z Salcic, M Liu, J Zhang, X Zhang 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet …, 2020 | 12 | 2020 |
| Clustering-based Efficient Privacy-preserving Face Recognition Scheme without Compromising Accuracy M Liu, H Hu, H Xiang, C Yang, L Lyu, X Zhang ACM Transactions on Sensor Networks (TOSN) 17 (3), 1-27, 2021 | 11 | 2021 |
| Watermarking Classification Dataset for Copyright Protection Y Liu, H Hu, X Chen, X Zhang, L Sun arXiv preprint arXiv:2305.13257, 2023 | 6 | 2023 |
| Symmetric Self-Paced Learning for Domain Generalization D Zhao, YS Koh, G Dobbie, H Hu, P Fournier-Viger Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 16961 …, 2024 | 4 | 2024 |
| Releasing malevolence from benevolence: The menace of benign data on machine unlearning B Ma, T Zheng, H Hu, D Wang, S Wang, Z Ba, Z Qin, K Ren arXiv preprint arXiv:2407.05112, 2024 | 3 | 2024 |
| Deepiforest: A Deep Anomaly Detection Framework with Hashing based Isolation Forest H Xiang, H Hu, X Zhang 2022 IEEE International Conference on Data Mining (ICDM), 1251-1256, 2022 | 3 | 2022 |
| Cardinality Counting in" Alcatraz": A Privacy-aware Federated Learning Approach N Wu, X Yuan, S Wang, H Hu, M Xue Proceedings of the ACM on Web Conference 2024, 3076-3084, 2024 | 2 | 2024 |
| MGF-ESE: An Enhanced Semantic Extractor with Multi-Granularity Feature Fusion for Code Summarization X Xu, Y Cao, H Hu, H Xiang, L Qi, J Xiong, W Dou THE WEB CONFERENCE 2025, 2025 | | 2025 |
| ExpShield: Safeguarding Web Text from Unauthorized Crawling and Language Modeling Exploitation R Liu, T Tran, T Wang, H Hu, S Wang, L Xiong arXiv preprint arXiv:2412.21123, 2024 | | 2024 |
Gillian DobbieUniversity of Aucklandcs.auckland.ac.nz üzerinde doğrulanmış e-posta adresine sahip
