Publications

Preprints

2026

1. Arxiv

   SafeRedir: Prompt Embedding Redirection for Robust Unlearning in Image Generation Models

   Renyang Liu, Kangjie Chen, Han Qiu, Jie Zhang, Kwok-Yan Lam, Tianwei Zhang, and See-Kiong Ng

   ArXiv preprint arXiv:2601.08623, 2026

   Bib PDF Code

   @article{liu2025safredir,
     author = {Liu, Renyang and Chen, Kangjie and Qiu, Han and Zhang, Jie and Lam, Kwok-Yan and Zhang, Tianwei and Ng, See-Kiong},
     journal = {ArXiv preprint arXiv:2601.08623},
     title = {SafeRedir: Prompt Embedding Redirection for Robust Unlearning in Image Generation Models},
     year = {2026},
   }

2025

1. Arxiv

   Image Can Bring Your Memory Back: A Novel Multi-Modal Guided Attack against Image Generation Model Unlearning

   Renyang Liu, Guanlin Li, Tianwei Zhang, and See-Kiong Ng

   ArXiv preprint arXiv:2507.07139, 2025

   Bib PDF Code

   @article{liu2025recall,
     author = {Liu, Renyang and Li, Guanlin and Zhang, Tianwei and Ng, See-Kiong},
     journal = {ArXiv preprint arXiv:2507.07139},
     title = {Image Can Bring Your Memory Back: A Novel Multi-Modal Guided Attack against Image Generation Model Unlearning},
     year = {2025},
   }

Published

2026

1. AAAI 2026

   FACTGUARD: Event-Centric and Commonsense-Guided Fake News Detection

   Jing He, Han Zhang, Yuanhui Xiao, Wei Guo, Shaowen Yao, and Renyang Liu^*

   In The Fortieth AAAI Conference on Artificial Intelligence (AAAI), 2026

   Bib PDF Code

   @inproceedings{liu2026factguard,
     title = {FACTGUARD: Event-Centric and Commonsense-Guided Fake News Detection},
     author = {He, Jing and Zhang, Han and Xiao, Yuanhui and Guo, Wei and Yao, Shaowen and Liu, Renyang},
     booktitle = {The Fortieth AAAI Conference on Artificial Intelligence (AAAI)},
     organization = {AAAI},
     year = {2026},
   }

2. WWW 2026

   PWAVEP: Purifying Imperceptible Adversarial Perturbations in 3D Point Clouds via Spectral Graph Wavelets

   Haoran Li, Renyang Liu^*, Hongjia Liu, Wang Chen, Long Yin, and Jian Xu^*

   In The Web Conference 2026 (WWW), 2026

   Bib

   @inproceedings{liu2026factguare,
     title = {PWAVEP: Purifying Imperceptible Adversarial Perturbations in 3D Point Clouds via Spectral Graph Wavelets},
     author = {Li, Haoran and Liu, Renyang and Liu, Hongjia and Chen, Wang and Yin, Long and Xu, Jian},
     booktitle = {The Web Conference 2026 (WWW)},
     organization = {ACM},
     year = {2026},
   }

2025

1. MM 2025

   D-Judge: How Far Are We? Assessing the Discrepancies Between AI-synthesized Images and Natural Images through Multimodal Guidance

   Renyang Liu, Ziyu Lyu, Wei Zhou, and See-Kiong Ng

   In ACM International Conference on Multimedia (MM), 2025

   Bib PDF Code

   @inproceedings{liu2024anid,
     title = {D-Judge: How Far Are We? Assessing the Discrepancies Between AI-synthesized Images and Natural Images through Multimodal Guidance},
     author = {Liu, Renyang and Lyu, Ziyu and Zhou, Wei and Ng, See-Kiong},
     booktitle = {ACM International Conference on Multimedia (MM)},
     organization = {ACM},
     year = {2025},
     data = {https://huggingface.co/datasets/Renyang/DANI},
   }

2. CCS 2025

   Rethinking Machine Unlearning in Image Generation Models

   Renyang Liu, Wenjie Feng, Tianwei Zhang, Wei Zhou, Xueqi Cheng, and See-Kiong Ng

   In ACM Conference on Computer and Communications Security (CCS), 2025

   Bib PDF Code

   @inproceedings{liu2025igmu,
     title = {Rethinking Machine Unlearning in Image Generation Models},
     author = {Liu, Renyang and Feng, Wenjie and Zhang, Tianwei and Zhou, Wei and Cheng, Xueqi and Ng, See-Kiong},
     booktitle = {ACM Conference on Computer and Communications Security (CCS)},
     organization = {ACM},
     year = {2025},
   }

3. ESWA 2025

   Micro_NesT: Multi-Scale Attention Enhanced Micro-Expression Recognition Framework

   Jing He, Yuanhui Xiao, Han Zhang, Jingwen Cai, Li Cai, and Renyang Liu^*

   Expert Systems With Applications, 2025

   Bib

   @article{he2025micro,
     title = {Micro_NesT: Multi-Scale Attention Enhanced Micro-Expression Recognition Framework},
     author = {He, Jing and Xiao, Yuanhui and Zhang, Han and Cai, Jingwen and Cai, Li and Liu, Renyang},
     journal = {Expert Systems With Applications},
     year = {2025},
     publisher = {Elsevier},
   }

4. APIN 2025

   IPAttack: imperceptible adversarial patch to attack object detectors

   Yongming Wen, Peiyuan Si, Wei Zhou, Zongheng Zhao, Chao Yi, and Renyang Liu^*

   Applied Intelligence, 2025

   Bib PDF

   @article{he2025pseudo,
     title = {IPAttack: imperceptible adversarial patch to attack object detectors},
     author = {Wen, Yongming and Si, Peiyuan and Zhou, Wei and Zhao, Zongheng and Yi, Chao and Liu, Renyang},
     journal = {Applied Intelligence},
     year = {2025},
     publisher = {Springer},
   }

5. EAAI 2025

   Pseudo-label attention-based multiple instance learning for whole slide image classification

   Jing He, Ping Wang, Jingwen Cai, Dan Tang, Shaowen Yao, and Renyang Liu^*

   Engineering Applications of Artificial Intelligence, 2025

   Bib PDF

   @article{he2025pseudp,
     title = {Pseudo-label attention-based multiple instance learning for whole slide image classification},
     author = {He, Jing and Wang, Ping and Cai, Jingwen and Tang, Dan and Yao, Shaowen and Liu, Renyang},
     journal = {Engineering Applications of Artificial Intelligence},
     year = {2025},
     publisher = {Elsevier},
   }

6. TMM 2025

   STBA: Towards Evaluating the Robustness of DNNs for Query-Limited Black-box Scenario

   Renyang Liu, Kwok-Yan Lam, Wei Zhou, Sixing Wu, Jun Zhao, Dongting Hu, and Mingming Gong

   IEEE Transactions on Multimedia, 2025

   Bib PDF Code

   @article{liu2024stba,
     title = {STBA: Towards Evaluating the Robustness of DNNs for Query-Limited Black-box Scenario},
     author = {Liu, Renyang and Lam, Kwok-Yan and Zhou, Wei and Wu, Sixing and Zhao, Jun and Hu, Dongting and Gong, Mingming},
     journal = {IEEE Transactions on Multimedia},
     year = {2025},
     publisher = {IEEE},
   }

2024

1. TWC 2024

   Post-Deployment Fine-Tunable Semantic Communication

   Peiyuan Si, Renyang Liu, Liangxin Qian, Jun Zhao, and Kwok-Yan Lam

   IEEE Transactions on Wireless Communications, 2024

   Bib PDF

   @article{si2024post,
     title = {Post-Deployment Fine-Tunable Semantic Communication},
     author = {Si, Peiyuan and Liu, Renyang and Qian, Liangxin and Zhao, Jun and Lam, Kwok-Yan},
     journal = {IEEE Transactions on Wireless Communications},
     year = {2024},
     publisher = {IEEE},
   }

2. ICASSP 2024

   SSTA: Salient Spatially Transformed Attack

   Renyang Liu, Wei Zhou, Sixing Wu, Jun Zhao, and Kwok-Yan Lam

   In ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024

   Bib PDF Code

   @inproceedings{liu2024ssta,
     title = {SSTA: Salient Spatially Transformed Attack},
     author = {Liu, Renyang and Zhou, Wei and Wu, Sixing and Zhao, Jun and Lam, Kwok-Yan},
     booktitle = {ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     pages = {5910--5914},
     year = {2024},
     organization = {IEEE},
   }

3. ICASSP 2024

   CNFA: Conditional Normalizing Flow for Query-Limited Attack

   Renyang Liu, Wei Zhou, Jinhong Zhang, Haoran Li, and Ruxin Wang

   In ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024

   Bib PDF

   @inproceedings{liu2024cnfa,
     title = {CNFA: Conditional Normalizing Flow for Query-Limited Attack},
     author = {Liu, Renyang and Zhou, Wei and Zhang, Jinhong and Li, Haoran and Wang, Ruxin},
     booktitle = {ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     pages = {4620--4624},
     year = {2024},
     organization = {IEEE},
   }

4. TIFS 2024

   Boosting Black-box Attack to Deep Neural Networks with Conditional Diffusion Models

   Renyang Liu, Wei Zhou, Tianwei Zhang, Kangjie Chen, Jun Zhao, and Kwok-Yan Lam

   IEEE Transactions on Information Forensics and Security, 2024

   Bib PDF Code

   @article{liu2024boosting,
     title = {Boosting Black-box Attack to Deep Neural Networks with Conditional Diffusion Models},
     author = {Liu, Renyang and Zhou, Wei and Zhang, Tianwei and Chen, Kangjie and Zhao, Jun and Lam, Kwok-Yan},
     journal = {IEEE Transactions on Information Forensics and Security},
     year = {2024},
     publisher = {IEEE},
   }

5. CYSE 2024

   DTA: distribution transform-based attack for query-limited scenario

   Renyang Liu, Wei Zhou, Xin Jin, Song Gao, Yuanyu Wang, and Ruxin Wang

   Cybersecurity, 2024

   Bib

   @article{liu2024dta,
     title = {DTA: distribution transform-based attack for query-limited scenario},
     author = {Liu, Renyang and Zhou, Wei and Jin, Xin and Gao, Song and Wang, Yuanyu and Wang, Ruxin},
     journal = {Cybersecurity},
     volume = {7},
     number = {1},
     pages = {8},
     year = {2024},
     publisher = {Springer},
   }

6. TETCI 2024

   Exploiting Type I Adversarial Examples to Hide Data Information: A New Privacy-Preserving Approach

   Song Gao, Xiaoxuan Wang, Bingbing Song, Renyang Liu, Shaowen Yao, Wei Zhou, and Shui Yu

   IEEE Transactions on Emerging Topics in Computational Intelligence, 2024

   Bib PDF

   @article{gao2024exploiting,
     title = {Exploiting Type I Adversarial Examples to Hide Data Information: A New Privacy-Preserving Approach},
     author = {Gao, Song and Wang, Xiaoxuan and Song, Bingbing and Liu, Renyang and Yao, Shaowen and Zhou, Wei and Yu, Shui},
     journal = {IEEE Transactions on Emerging Topics in Computational Intelligence},
     year = {2024},
     publisher = {IEEE},
   }

7. SOCO 2024

   Can LSH (locality-sensitive hashing) be replaced by neural network?

   Renyang Liu, Jun Zhao, Xing Chu, Yu Liang, Wei Zhou, and Jing He

   Soft Computing, 2024

   Bib

   @article{liu2024can,
     title = {Can LSH (locality-sensitive hashing) be replaced by neural network?},
     author = {Liu, Renyang and Zhao, Jun and Chu, Xing and Liang, Yu and Zhou, Wei and He, Jing},
     journal = {Soft Computing},
     volume = {28},
     number = {2},
     pages = {1041--1053},
     year = {2024},
     publisher = {Springer},
   }

2023

1. SecureCOMM 2023

   Model Inversion Attacks on Homogeneous and Heterogeneous Graph Neural Networks

   Renyang Liu, Wei Zhou, Jinhong Zhang, Xiaoyuan Liu, Peiyuan Si, and Haoran Li

   In International Conference on Security and Privacy in Communication Systems, 2023

   Bib

   @inproceedings{liu2023model,
     title = {Model Inversion Attacks on Homogeneous and Heterogeneous Graph Neural Networks},
     author = {Liu, Renyang and Zhou, Wei and Zhang, Jinhong and Liu, Xiaoyuan and Si, Peiyuan and Li, Haoran},
     booktitle = {International Conference on Security and Privacy in Communication Systems},
     pages = {125--144},
     year = {2023},
     organization = {Springer},
   }

2. ICONIP 2023

   SCME: A self-contrastive method for data-free and query-limited model extraction attack

   Renyang Liu, Jinhong Zhang, Kwok-Yan Lam, Jun Zhao, and Wei Zhou

   In International Conference on Neural Information Processing, 2023

   Bib PDF

   @inproceedings{liu2023scme,
     title = {SCME: A self-contrastive method for data-free and query-limited model extraction attack},
     author = {Liu, Renyang and Zhang, Jinhong and Lam, Kwok-Yan and Zhao, Jun and Zhou, Wei},
     booktitle = {International Conference on Neural Information Processing},
     pages = {370--382},
     year = {2023},
     organization = {Springer},
   }

3. DASFFA 2023

   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, and 1 more author

   In International Conference on Database Systems for Advanced Applications, 2023

   Bib PDF

   @inproceedings{li2023rewriting,
     title = {Rewriting-Stego: generating natural and controllable steganographic text with pre-trained language model},
     author = {Li, Fanxiao and Wu, Sixing and Yu, Jiong and Wang, Shuoxin and Song, BingBing and Liu, Renyang and Lai, Haoseng and Zhou, Wei},
     booktitle = {International Conference on Database Systems for Advanced Applications},
     pages = {617--626},
     year = {2023},
     organization = {Springer},
   }

4. ICICS 2023

   AFLOW: developing adversarial examples under extremely noise-limited settings

   Renyang Liu, Jinhong Zhang, Haoran Li, Jin Zhang, Yuanyu Wang, and Wei Zhou

   In International Conference on Information and Communications Security, 2023

   Bib PDF

   @inproceedings{liu2023aflow,
     title = {AFLOW: developing adversarial examples under extremely noise-limited settings},
     author = {Liu, Renyang and Zhang, Jinhong and Li, Haoran and Zhang, Jin and Wang, Yuanyu and Zhou, Wei},
     booktitle = {International Conference on Information and Communications Security},
     pages = {502--518},
     year = {2023},
     organization = {Springer},
   }

5. TDSC 2023

   Type-I generative adversarial attack

   Shenghong He, Ruxin Wang, Tongliang Liu, Chao Yi, Xin Jin, Renyang Liu, and Wei Zhou

   IEEE Transactions on Dependable and Secure Computing, 2023

   Bib PDF

   @article{he2022type,
     title = {Type-I generative adversarial attack},
     author = {He, Shenghong and Wang, Ruxin and Liu, Tongliang and Yi, Chao and Jin, Xin and Liu, Renyang and Zhou, Wei},
     journal = {IEEE Transactions on Dependable and Secure Computing},
     volume = {20},
     number = {3},
     pages = {2593--2606},
     year = {2023},
     publisher = {IEEE},
   }

2022

1. IET-IP 2022

   SMDAF: A novel keypoint based method for copy-move forgery detection

   Guangyu Yue, Qing Duan, Renyang Liu, Wenyu Peng, Yun Liao, and Junhui Liu

   IET Image Processing, 2022

   Bib PDF

   @article{yue2022smdaf,
     title = {SMDAF: A novel keypoint based method for copy-move forgery detection},
     author = {Yue, Guangyu and Duan, Qing and Liu, Renyang and Peng, Wenyu and Liao, Yun and Liu, Junhui},
     journal = {IET Image Processing},
     volume = {16},
     number = {13},
     pages = {3589--3602},
     year = {2022},
     publisher = {Wiley Online Library},
   }

2. ICTAI 2022

   RIA: A Reversible Network-based Imperceptible Adversarial Attack

   Fanxiao Li, Renyang Liu, Zhenli He, Song Gao, Yunyun Dong, and Wei Zhou

   In 2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI), 2022

   Bib PDF

   @inproceedings{li2022ria,
     title = {RIA: A Reversible Network-based Imperceptible Adversarial Attack},
     author = {Li, Fanxiao and Liu, Renyang and He, Zhenli and Gao, Song and Dong, Yunyun and Zhou, Wei},
     booktitle = {2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI)},
     pages = {996--1001},
     year = {2022},
     organization = {IEEE},
   }

2021

1. COSE 2021

   EnsembleFool: A method to generate adversarial examples based on model fusion strategy

   Wenyu Peng, Renyang Liu, Ruxin Wang, Taining Cheng, Zifeng Wu, Li Cai, and Wei Zhou

   Computers & Security, 2021

   Bib PDF

   @article{peng2021ensemblefool,
     title = {EnsembleFool: A method to generate adversarial examples based on model fusion strategy},
     author = {Peng, Wenyu and Liu, Renyang and Wang, Ruxin and Cheng, Taining and Wu, Zifeng and Cai, Li and Zhou, Wei},
     journal = {Computers \& Security},
     volume = {107},
     pages = {102317},
     year = {2021},
     publisher = {Elsevier},
   }