| 2025 | GLOBECOM | Privacy Assessment of Text-to-Image Models via Enhanced Membership Inference Attack. | Ben Niu, Jiaqi Liu, Likun Zhang, Yiming Jiang, Yuqiao Hou, Jin Cao |
| 2025 | KDD | Training Data Attribution: Was Your Model Secretly Trained On Data Created By Mine? | Likun Zhang, Hao Wu, Lingcui Zhang, Fengyuan Xu, Jin Cao, Fenghua Li, Ben Niu |
| 2024 | HPCC | Easy-Sharing: A Personalized Privacy Diffusion Strategy Generation Method Based on Risk-Return Trade-Off. | Ben Niu, Qifan Yang, Likun Zhang, Jin Cao, Qian Yang |
| 2024 | ICASSP | Interpreting Memorization in Deep Learning from Data Distribution. | Likun Zhang, Jingwei Sun, Shoukun Guo, Fenghua Li, Jin Cao, Ben Niu |
| 2024 | ICLR | Cognitive resilience: Unraveling the proficiency of image-captioning models to interpret masked visual content. | Zhicheng Du, Zhaotian Xie, Huazhang Ying, Likun Zhang, Peiwu Qin |
| 2023 | AAAI | An Ensemble Distillation Framework for Sentence Embeddings with Multilingual Round-Trip Translation. | Tianyu Zong, Likun Zhang |
| 2023 | GLOBECOM | A Sensitivity-aware and Block-wise Pruning Method for Privacy-preserving Federated Learning. | Ben Niu, Xindi Wang, Likun Zhang, Shoukun Guo, Jin Cao, Fenghua Li |
| 2023 | WACV | Interpreting Disparate Privacy-Utility Tradeoff in Adversarial Learning via Attribute Correlation. | Likun Zhang, Yahong Chen, Ang Li, Binghui Wang, Yiran Chen, Fenghua Li, Jin Cao, Ben Niu |
| 2020 | GLOBECOM | A Framework to Preserve User Privacy for Machine Learning as a Service. | Ben Niu, Likun Zhang, Yahong Chen, Ang Li, Wei Du, Jin Cao, Fenghua Li |