Triple adversarial learning for influence based poisoning attack in recommender systems C Wu, D Lian, Y Ge, Z Zhu, E Chen Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 71 | 2021 |
Fight fire with fire: towards robust recommender systems via adversarial poisoning training C Wu, D Lian, Y Ge, Z Zhu, E Chen, S Yuan Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 56 | 2021 |
Influence-driven data poisoning for robust recommender systems C Wu, D Lian, Y Ge, Z Zhu, E Chen IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (10 …, 2023 | 30 | 2023 |
Membership inference attacks against sequential recommender systems Z Zhu, C Wu, R Fan, D Lian, E Chen Proceedings of the ACM Web Conference 2023, 1208-1219, 2023 | 10 | 2023 |
Resisting graph adversarial attack via cooperative homophilous augmentation Z Zhu, C Wu, M Zhou, H Liao, D Lian, E Chen Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 4 | 2022 |
Network representation lightening from hashing to quantization D Lian, Z Zhu, K Zheng, Y Ge, X Xie, E Chen IEEE Transactions on Knowledge and Data Engineering 35 (5), 5119-5131, 2022 | 4 | 2022 |
AutoS2AE: Automate to Regularize Sparse Shallow Autoencoders for Recommendation R Fan, Y Pu, J Chen, Z Zhu, D Lian, E Chen Proceedings of the ACM Web Conference 2023, 1032-1042, 2023 | 2 | 2023 |
Model Stealing Attack against Recommender System Z Zhu, R Fan, C Wu, Y Yang, D Lian, E Chen arXiv preprint arXiv:2312.11571, 2023 | 1 | 2023 |
TDDBench: A Benchmark for Training data detection Z Zhu, Y Yang, D Lian arXiv preprint arXiv:2411.03363, 2024 | | 2024 |
Understanding Privacy Risks of Embeddings Induced by Large Language Models Z Zhu, N Shao, D Lian, C Wu, Z Liu, Y Yang, E Chen arXiv preprint arXiv:2404.16587, 2024 | | 2024 |
Automated Sparse and Low-Rank Shallow Autoencoders for Recommendation Y Pu, R Fan, J Chen, Z Zhu, D Lian, E Chen ACM Transactions on Recommender Systems, 2024 | | 2024 |
Model Stealing Attack against Graph Classification with Authenticity, Uncertainty and Diversity Z Zhu, C Wu, R Fan, Y Yang, Z Wang, D Lian, E Chen arXiv preprint arXiv:2312.10943, 2023 | | 2023 |
Co-visitation Meets Token Alignment for Next Product Title Generation C Wu, L Deng, Z Zhu, D Lian Amazon KDD Cup 2023 Workshop, 2018 | | 2018 |