| 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 | 440 | 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 | 90 | 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 | 36 | 2022 |
| Membership Inference via Backdooring H Hu, Z Salcic, G Dobbie, L Sun, X Zhang IJCAI-22, 2022 | 27 | 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 | 26 | 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 | 16 | 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 | 14 | 2021 |
| 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 | 11 | 2020 |
| 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 | 10 | 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 | 9 | 2023 |
| 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 | 9 | 2021 |
| 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 | 8 | 2024 |
| 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 | 6 | 2023 |
| 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 |
| Watermarking Classification Dataset for Copyright Protection Y Liu, H Hu, X Chen, X Zhang, L Sun arXiv preprint arXiv:2305.13257, 2023 | 2 | 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 | 1 | 2024 |
| Shadow-free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought X Chi, X Zhang, Y Wang, L Qi, A Beheshti, X Xu, KKR Choo, S Wang, ... IJCAI-24, 2024 | | 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 | | 2024 |
| LACMUS: Latent Concept Masking for General Robustness Enhancement of DNNs S Wang, H Hu, J Chang, BZH Zhao, M Xue 2024 IEEE Symposium on Security and Privacy (S&P), 260-260, 2024 | | 2024 |
Gillian DobbieUniversity of AucklandVerified email at cs.auckland.ac.nz
