Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems. - Chenwang Wu; Defu Lian; Yong Ge; Zhihao Zhu 002; Enhong Chen (KDD, 2021)

Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training. - Chenwang Wu; Defu Lian; Yong Ge; Zhihao Zhu 002; Enhong Chen; Senchao Yuan (SIGIR, 2021)

Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation. - Zhihao Zhu 002; Chenwang Wu; Min Zhou 006; Hao Liao; Defu Lian; Enhong Chen (ECML/PKDD (3), 2022)

Membership Inference Attacks Against Sequential Recommender Systems. - Zhihao Zhu 002; Chenwang Wu; Rui Fan; Defu Lian; Enhong Chen (WWW, 2023)

AutoS2AE: Automate to Regularize Sparse Shallow Autoencoders for Recommendation. - Rui Fan; Yuanhao Pu; Jin Chen 008; Zhihao Zhu 002; Defu Lian; Enhong Chen (WWW, 2023)

Model Stealing Attack against Graph Classification with Authenticity, Uncertainty and Diversity. - Zhihao Zhu 002; Chenwang Wu; Rui Fan; Yi Yang 042; Defu Lian; Enhong Chen (CoRR, 2023)

Model Stealing Attack against Recommender System. - Zhihao Zhu 002; Rui Fan; Chenwang Wu; Yi Yang 042; Defu Lian; Enhong Chen (CoRR, 2023)

Network Representation Lightening From Hashing to Quantization. - Defu Lian; Zhihao Zhu 002; Kai Zheng 001; Yong Ge; Xing Xie 001; Enhong Chen (IEEE Trans. Knowl. Data Eng., 2023)

Influence-Driven Data Poisoning for Robust Recommender Systems. - Chenwang Wu; Defu Lian; Yong Ge; Zhihao Zhu 002; Enhong Chen (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Understanding Privacy Risks of Embeddings Induced by Large Language Models. - Zhihao Zhu 002; Ninglu Shao; Defu Lian; Chenwang Wu; Zheng Liu 011; Yi Yang 042; Enhong Chen (CoRR, 2024)

TDDBench: A Benchmark for Training data detection. - Zhihao Zhu 002; Yi Yang 042; Defu Lian (ICLR, 2025)

Automated Sparse and Low-Rank Shallow Autoencoders for Recommendation. - Yuanhao Pu; Rui Fan; Jin Chen 008; Zhihao Zhu 002; Defu Lian; Enhong Chen (Trans. Recomm. Syst., 2025)