Na Zhao

13 papers A* 3C 1Misc 1Journal 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Disreo: Provably Secure No-Box-Extraction Linguistic Steganography Based on Distribution Reorganization.
IEEE Trans. Multim.
Jun Jiang, Kejiang Chen, Na Zhao, Yuang Qi, Xin Zhang, Weiming Zhang, Nenghai Yu
2026 J jnl
Performance-Lossless Black-Box Model Watermarking.
IEEE Trans. Dependable Secur. Comput.
Na Zhao, Kejiang Chen, Weiming Zhang, Nenghai Yu
2026 J jnl
STEAD: Robust Provably Secure Linguistic Steganography with Diffusion Language Model.
CoRR
Yuang Qi, Na Zhao, Qiyi Yao, Benlong Wu, Weiming Zhang, Nenghai Yu, Kejiang Chen
2025 J jnl
LiteUpdate: A Lightweight Framework for Updating AI-Generated Image Detectors.
CoRR
Jiajie Lu, Zhenkan Fu, Na Zhao, Long Xing, Kejiang Chen, Weiming Zhang, Nenghai Yu
2025 A* conf
Merging-Resistant Watermarking for LoRA Modules.
ACM Multimedia
Na Zhao, Kejiang Chen, Yuang Qi, Kai Zeng, Weiming Zhang, Nenghai Yu
2025 A* conf
Provably Secure Image Robust Steganography via Cross-modal Error Correction.
AAAI
Yuang Qi, Kejiang Chen, Na Zhao, Zijin Yang, Weiming Zhang
2025 J jnl
Provably Secure Public-Key Steganography Based on Admissible Encoding.
CoRR
Xin Zhang, Kejiang Chen, Na Zhao, Weiming Zhang, Nenghai Yu
2025 J jnl
Provably Secure Public-Key Steganography Based on Admissible Encoding.
IEEE Trans. Inf. Forensics Secur.
Xin Zhang, Kejiang Chen, Na Zhao, Weiming Zhang, Nenghai Yu
2024 J jnl
Provably Secure Robust Image Steganography via Cross-Modal Error Correction.
CoRR
Yuang Qi, Kejiang Chen, Na Zhao, Zijin Yang, Weiming Zhang
2023 C conf
Calibration-based Steganalysis for Neural Network Steganography.
IH&MMSec
Na Zhao, Kejiang Chen, Chuan Qin, Yi Yin, Weiming Zhang, Nenghai Yu
2023 A* conf
Discop: Provably Secure Steganography in Practice Based on "Distribution Copies".
SP
Jinyang Ding, Kejiang Chen, Yaofei Wang, Na Zhao, Weiming Zhang, Nenghai Yu
2023 J jnl
Performance-lossless Black-box Model Watermarking.
CoRR
Na Zhao, Kejiang Chen, Weiming Zhang, Nenghai Yu
2022 Misc conf
Patch Steganalysis: A Sampling Based Defense Against Adversarial Steganography.
ICASSP
Chuan Qin, Na Zhao, Weiming Zhang, Nenghai Yu