Search Results for author:
Found 4 papers, 1 papers with code
Hiding Data in Colors: Secure and Lossless Deep Image Steganography via Conditional Invertible Neural Networks
Deep image steganography is a data hiding technology that conceal data in digital images via deep neural networks.
Generalized Local Optimality for Video Steganalysis in Motion Vector Domain
So we generalize the local optimality from the MV domain to the PMV domain.
Using contrastive learning to improve the performance of steganalysis schemes
To decrease the computing complexity of the contrastive loss in supervised learning, we design a novel Steganalysis Contrastive Loss (StegCL) based on the equivalence and transitivity of similarity.
Spec-ResNet: A General Audio Steganalysis scheme based on Deep Residual Network of Spectrogram
The proposed scheme has better detection accuracy for three different AAC steganographic schemes and MP3Stego than the state-of-arts steganalysis schemes which are based on traditional hand-crafted or CNN-based feature.
Multimedia
