| 2026 | AAAI | FACTGUARD: Event-Centric and Commonsense-Guided Fake News Detection. | Jing He, Han Zhang, Yuanhui Xiao, Wei Guo, Shaowen Yao, Renyang Liu |
| 2026 | ACL | Correct When Paired, Wrong When Split: Decoupling and Editing Modality-Specific Neurons in MLLMs. | Tingchao Fu, Wenkai Wang, Fanxiao Li, Huadong Zhang, Jinhong Zhang, Dayang Li, Yunyun Dong, Renyang Liu, Wei Zhou |
| 2026 | WWW | PWAVEP: Purifying Imperceptible Adversarial Perturbations in 3D Point Clouds via Spectral Graph Wavelets. | Haoran Li, Renyang Liu, Hongjia Liu, Chen Wang, Long Yin, Jian Xu |
| 2025 | CCS | Rethinking Machine Unlearning in Image Generation Models. | Renyang Liu, Wenjie Feng, Tianwei Zhang, Wei Zhou, Xueqi Cheng, See-Kiong Ng |
| 2024 | ICASSP | SSTA: Salient Spatially Transformed Attack. | Renyang Liu, Wei Zhou, Sixing Wu, Jun Zhao, Kwok-Yan Lam |
| 2024 | ICASSP | CNFA: Conditional Normalizing Flow for Query-Limited Attack. | Renyang Liu, Wei Zhou, Jinhong Zhang, Haoran Li, Ruxin Wang |
| 2023 | DASFAA | Rewriting-Stego: Generating Natural and Controllable Steganographic Text with Pre-trained Language Model. | Fanxiao Li, Sixing Wu, Jiong Yu, Shuoxin Wang, Bingbing Song, Renyang Liu, Haoseng Lai, Wei Zhou |
| 2023 | ICICS | AFLOW: Developing Adversarial Examples Under Extremely Noise-Limited Settings. | Renyang Liu, Jinhong Zhang, Haoran Li, Jin Zhang, Yuanyu Wang, Wei Zhou |
| 2023 | ICONIP | SCME: A Self-contrastive Method for Data-Free and Query-Limited Model Extraction Attack. | Renyang Liu, Jinhong Zhang, Kwok-Yan Lam, Jun Zhao, Wei Zhou |
| 2023 | SecureComm | Model Inversion Attacks on Homogeneous and Heterogeneous Graph Neural Networks. | Renyang Liu, Wei Zhou, Jinhong Zhang, Xiaoyuan Liu, Peiyuan Si, Haoran Li |
| 2022 | ICTAI | RIA: A Reversible Network-based Imperceptible Adversarial Attack. | Fanxiao Li, Renyang Liu, Zhenli He, Song Gao, Yunyun Dong, Wei Zhou |