Yun-Qing Shi — accepted AI-conference papers

2021

A Layered Embedding-Based Scheme to Cope with Intra-Frame Distortion Drift In IPM-Based HEVC Steganography

Xiaoqing Jia, Jie Wang, Yongliang Liu, Xiangui Kang, Yun-Qing Shi

ICASSP 2021accepted

The spatial correlation of the intra-frame prediction units brings great challenges when minimizing embedding distortions using syndrome-trellis coding (STC) in High Efficiency Video Coding (HEVC) steganography. To solve this problem, we propose a layered embedding scheme which embeds information in…

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2020

Approaching Optimal Embedding In Audio Steganography With GAN

Jianhua Yang, Huilin Zheng, Xiangui Kang, Yun-Qing Shi

ICASSP 2020accepted

Audio steganography is a technology that embeds messages into audio without raising any suspicion from hearing it. Current steganography methods are based on heuristic cost designs. In this work, we proposed a framework based on Generative Adversarial Network (GAN) to approach optimal embedding for…

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