Renyang Liu

According to our database, Renyang Liu authored at least 29 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

FactGuard: Event-Centric and Commonsense-Guided Fake News Detection.

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

CoRR, November, 2025

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

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

CoRR, July, 2025

MBA: Multimodal Bidirectional Attack for Referring Expression Segmentation Models.

Xingbai Chen, Tingchao Fu, Renyang Liu, Wei Zhou, Chao Yi

CoRR, June, 2025

IPAttack: imperceptible adversarial patch to attack object detectors.

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

Appl. Intell., April, 2025

Post-Deployment Fine-Tunable Semantic Communication.

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

IEEE Trans. Wirel. Commun., January, 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, Mingming Gong

IEEE Trans. Multim., 2025

Micro_NesT: multi-scale attention enhanced micro-expression recognition framework.

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

Expert Syst. Appl., 2025

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

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

Eng. Appl. Artif. Intell., 2025

Rethinking Machine Unlearning in Image Generation Models.

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

Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security, 2025

2024

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

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

Cybersecur., December, 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, Shui Yu

IEEE Trans. Emerg. Top. Comput. Intell., June, 2024

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

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

Soft Comput., January, 2024

Boosting Black-Box Attack to Deep Neural Networks With Conditional Diffusion Models.

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

IEEE Trans. Inf. Forensics Secur., 2024

ANID: How Far Are We? Evaluating the Discrepancies Between AI-synthesized Images and Natural Images through Multimodal Guidance.

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

CoRR, 2024

CNFA: Conditional Normalizing Flow for Query-Limited Attack.

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

Proceedings of the IEEE International Conference on Acoustics, 2024

SSTA: Salient Spatially Transformed Attack.

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

Proceedings of the IEEE International Conference on Acoustics, 2024

Fine-Tunable Semantic Communication for Image Transmission.

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

Proceedings of the 10th International Conference on Big Data Computing and Communications, 2024

2023

DualFlow: Generating imperceptible adversarial examples by flow field and normalize flow-based model.

Renyang Liu, Xin Jin, Dongting Hu, Jinhong Zhang, Yuanyu Wang, Jin Zhang, Wei Zhou

Frontiers Neurorobotics, June, 2023

Type-I Generative Adversarial Attack.

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

IEEE Trans. Dependable Secur. Comput., 2023

SSTA: Salient Spatially Transformed Attack.

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

CoRR, 2023

Double-Flow-based Steganography without Embedding for Image-to-Image Hiding.

Bingbing Song, Derui Wang, Tianwei Zhang, Renyang Liu, Yu Lin, Wei Zhou

CoRR, 2023

Model Inversion Attacks on Homogeneous and Heterogeneous Graph Neural Networks.

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

Proceedings of the Security and Privacy in Communication Networks, 2023

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

Proceedings of the Neural Information Processing - 30th International Conference, 2023

AFLOW: Developing Adversarial Examples Under Extremely Noise-Limited Settings.

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

Proceedings of the Information and Communications Security - 25th International Conference, 2023

DeepLSH: A Deep Learning-based Locality Sensitive Hash Method.

Renyang Liu, Qiwei Dou, Haoran Li, Jinhong Zhang, Junhui Liu

Proceedings of the 15th International Conference on Digital Image Processing, 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, Wei Zhou

Proceedings of the Database Systems for Advanced Applications, 2023

2022

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

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

IET Image Process., 2022

RIA: A Reversible Network-based Imperceptible Adversarial Attack.

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

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

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, Wei Zhou

Comput. Secur., 2021