17 citations · 27 across the 8 of their papers we have counts for
8 papers
PRoADS: Provably Secure and Robust Audio Diffusion Steganography with latent optimization and backward Euler Inversion
YongPeng Yan, Yanan Li, Qiyang Xiao +1
This paper proposes PRoADS, a provably secure and robust audio steganographic framework based on audio diffusion models. As a generative steganography scheme, PRoADS embeds secret…
Robust Provably Secure Image Steganography via Latent Iterative Optimization
Yanan Li, Zixuan Wang, Qiyang Xiao +1
We propose a robust and provably secure image steganography framework based on latent-space iterative optimization. Within this framework, the receiver treats the transmitted image…
A Snoring Sound Dataset for Body Position Recognition: Collection, Annotation, and Analysis
Li Xiao, Xiuping Yang, Xinhong Li +6
Obstructive Sleep Apnea-Hypopnea Syndrome (OSAHS) is a chronic breathing disorder caused by a blockage in the upper airways. Snoring is a prominent symptom of OSAHS, and previous s…
Who is Speaking Actually? Robust and Versatile Speaker Traceability for Voice Conversion
Yanzhen Ren, Hongcheng Zhu, Liming Zhai +3
Voice conversion (VC), as a voice style transfer technology, is becoming increasingly prevalent while raising serious concerns about its illegal use. Proactively tracing the origin…
Hiding Data in Colors: Secure and Lossless Deep Image Steganography via Conditional Invertible Neural Networks
Yanzhen Ren, Ting Liu, Liming Zhai +1
Deep image steganography is a data hiding technology that conceal data in digital images via deep neural networks. However, existing deep image steganography methods only consider…
Generalized Local Optimality for Video Steganalysis in Motion Vector Domain
Liming Zhai, Lina Wang, Yanzhen Ren +1
The local optimality of motion vectors (MVs) is an intrinsic property in video coding, and any modifications to the MVs will inevitably destroy this optimality, making it a sensiti…
Using contrastive learning to improve the performance of steganalysis schemes
Yanzhen Ren, Yiwen Liu, Lina Wang
To improve the detection accuracy and generalization of steganalysis, this paper proposes the Steganalysis Contrastive Framework (SCF) based on contrastive learning. The SCF improv…
Spec-ResNet: A General Audio Steganalysis scheme based on Deep Residual Network of Spectrogram
Yanzhen Ren, Dengkai Liu, Qiaochu Xiong +2
The widespread application of audio and video communication technology make the compressed audio data flowing over the Internet, and make it become an important carrier for covert…