| 2025 | NDSS | URVFL: Undetectable Data Reconstruction Attack on Vertical Federated Learning. | Duanyi Yao, Songze Li, Xueluan Gong, Sizai Hou, Gaoning Pan |
| 2024 | CCS | Beowulf: Mitigating Model Extraction Attacks Via Reshaping Decision Regions. | Xueluan Gong, Rubin Wei, Ziyao Wang, Yuchen Sun, Jiawen Peng, Yanjiao Chen, Qian Wang |
| 2023 | IJCAI | Orion: Online Backdoor Sample Detection via Evolution Deviance. | Huayang Huang, Qian Wang, Xueluan Gong, Tao Wang |
| 2023 | WWW | NetGuard: Protecting Commercial Web APIs from Model Inversion Attacks using GAN-generated Fake Samples. | Xueluan Gong, Ziyao Wang, Yanjiao Chen, Qian Wang, Cong Wang, Chao Shen |
| 2023 | SP | D-DAE: Defense-Penetrating Model Extraction Attacks. | Yanjiao Chen, Rui Guan, Xueluan Gong, Jianshuo Dong, Meng Xue |
| 2023 | SP | Redeem Myself: Purifying Backdoors in Deep Learning Models using Self Attention Distillation. | Xueluan Gong, Yanjiao Chen, Wang Yang, Qian Wang, Yuzhe Gu, Huayang Huang, Chao Shen |
| 2022 | NDSS | ATTEQ-NN: Attention-based QoE-aware Evasive Backdoor Attacks. | Xueluan Gong, Yanjiao Chen, Jianshuo Dong, Qian Wang |
| 2021 | IJCAI | InverseNet: Augmenting Model Extraction Attacks with Training Data Inversion. | Xueluan Gong, Yanjiao Chen, Wenbin Yang, Guanghao Mei, Qian Wang |