Yuan Rao

12 papers A* 2C 1Journal 6Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
A trigger-perceivable backdoor attack framework driven by image steganography.
Pattern Recognit.
Weixuan Tang, Jiahao Li, Yuan Rao, Zhili Zhou, Fei Peng
2025 J jnl
Reversible generative steganography with distribution-preserving.
Cybersecur.
Weixuan Tang, Yuan Rao, Zuopeng Yang, Fei Peng, Xutong Cui, Junhao Huang, Peijun Zhu
2025 J jnl
Towards JPEG-Resistant Image Forgery Detection and Localization Via Self-Supervised Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell.
Yuan Rao, Jiangqun Ni, Weizhe Zhang, Jiwu Huang
2024 A* conf
Dig a Hole and Fill in Sand: Adversary and Hiding Decoupled Steganography.
ACM Multimedia
Weixuan Tang, Haoyu Yang, Yuan Rao, Zhili Zhou, Fei Peng
2024 J jnl
Exploring the vulnerability of self-supervised monocular depth estimation models.
Inf. Sci.
Ruitao Hou, Kanghua Mo, Yucheng Long, Ning Li, Yuan Rao
2023 — conf
Deep Multi-image Hiding with Random Key.
AIS&P (1)
Wei Zhang, Weixuan Tang, Yuan Rao, Bin Li, Jiwu Huang
2023 — conf
MKD: Mutual Knowledge Distillation for Membership Privacy Protection.
AIS&P (1)
Sihao Huang, Zhongxiang Liu, Jiafu Yu, Yongde Tang, Zidan Luo, Yuan Rao
2021 J jnl
Multi-semantic CRF-based attention model for image forgery detection and localization.
Signal Process.
Yuan Rao, Jiangqun Ni, Hao Xie
2021 A* conf
Self-supervised Domain Adaptation for Forgery Localization of JPEG Compressed Images.
ICCV
Yuan Rao, Jiangqun Ni
2020 J jnl
Deep Learning Local Descriptor for Image Splicing Detection and Localization.
IEEE Access
Yuan Rao, Jiangqun Ni, Huimin Zhao
2017 C conf
Block-Based Convolutional Neural Network for Image Forgery Detection.
IWDW
Jianghong Zhou, Jiangqun Ni, Yuan Rao
2016 — conf
A deep learning approach to detection of splicing and copy-move forgeries in images.
WIFS
Yuan Rao, Jiangqun Ni