| 2026 | ACL | USB: A Comprehensive and Unified Safety Evaluation Benchmark for Multimodal Large Language Models. | Baolin Zheng, Guanlin Chen, Qingyang Teng, Hongqiong Zhong, Yingshui Tan, Zhendong Liu, Weixun Wang, Jiaheng Liu, Jian Yang, Huiyun Jing, Jincheng Wei, Wenbo Su, Xiaoyong Zhu, Bo Zheng, Kaifu Zhang |
| 2024 | AAAI | From Toxic to Trustworthy: Using Self-Distillation and Semi-supervised Methods to Refine Neural Networks. | Xianda Zhang, Baolin Zheng, Jianbao Hu, Chengyang Li, Xiaoying Bai |
| 2024 | ICASSP | FIBA: Federated Invisible Backdoor Attack. | Lu Zhang, Baolin Zheng |
| 2023 | ICASSP | Adversarial Network Pruning by Filter Robustness Estimation. | Xinlu Zhuang, Yunjie Ge, Baolin Zheng, Qian Wang |
| 2023 | ICONIP | SDBC: A Novel and Effective Self-Distillation Backdoor Cleansing Approach. | Sheng Ran, Baolin Zheng, Mingwei Sun |
| 2023 | KDD | Sequence As Genes: An User Behavior Modeling Framework for Fraud Transaction Detection in E-commerce. | Ziming Wang, Qianru Wu, Baolin Zheng, Junjie Wang, Kaiyu Huang, Yanjie Shi |
| 2022 | IJCAI | A Few Seconds Can Change Everything: Fast Decision-based Attacks against DNNs. | Ningping Mou, Baolin Zheng, Qian Wang, Yunjie Ge, Binqing Guo |
| 2021 | CCS | Black-box Adversarial Attacks on Commercial Speech Platforms with Minimal Information. | Baolin Zheng, Peipei Jiang, Qian Wang, Qi Li, Chao Shen, Cong Wang, Yunjie Ge, Qingyang Teng, Shenyi Zhang |