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A survey on Deep-Learning-based image steganography
With the development of Internet and multimedia development, digital image steganography
is becoming more extensive in transmitting data with high capacity and security. Although …
is becoming more extensive in transmitting data with high capacity and security. Although …
Security and privacy issues in deep reinforcement learning: Threats and countermeasures
Deep Reinforcement Learning (DRL) is an essential subfield of Artificial Intelligence (AI),
where agents interact with environments to learn policies for solving complex tasks. In recent …
where agents interact with environments to learn policies for solving complex tasks. In recent …
Enhance Software‐Defined Network Security with IoT for Strengthen the Encryption of Information Access Control
The Internet of Things (IoT) is legitimately growing quicker. The operators have already
started setting up a diligent infrastructure for these gadgets. Various technologies need to be …
started setting up a diligent infrastructure for these gadgets. Various technologies need to be …
Generative steganography via auto-generation of semantic object contours
As a promising technique of resisting steganalysis detection, generative steganography
usually generates a new image driven by secret information as the stego-image. However, it …
usually generates a new image driven by secret information as the stego-image. However, it …
Secret-to-image reversible transformation for generative steganography
Z Zhou, Y Su, J Li, K Yu, QMJ Wu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Recently, generative steganography that transforms secret information to a generated image
has been a promising technique to resist steganalysis detection. However, due to the …
has been a promising technique to resist steganalysis detection. However, due to the …
Image disentanglement autoencoder for steganography without embedding
Conventional steganography approaches embed a secret message into a carrier for
concealed communication but are prone to attack by recent advanced steganalysis tools. In …
concealed communication but are prone to attack by recent advanced steganalysis tools. In …
Steganography embedding cost learning with generative multi-adversarial network
Since the generative adversarial network (GAN) was proposed by Ian Goodfellow et al. in
2014, it has been widely used in various fields. However, there are only a few works related …
2014, it has been widely used in various fields. However, there are only a few works related …
A multiwatermarking scheme for verifying medical image integrity and authenticity in the internet of medical things
F Yan, H Huang, X Yu - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
With the advent of a fifth-generation mobile network and developments in technologies such
as the Internet of Medical Things, smart healthcare systems are becoming ubiquitous in our …
as the Internet of Medical Things, smart healthcare systems are becoming ubiquitous in our …
ReLOAD: Using reinforcement learning to optimize asymmetric distortion for additive steganography
Recently, the success of non-additive steganography has demonstrated that asymmetric
distortion can remarkably improve security performance compared with symmetric cost …
distortion can remarkably improve security performance compared with symmetric cost …
StegaStyleGAN: towards generic and practical generative image steganography
The recent advances in generative image steganography have drawn increasing attention
due to their potential for provable security and bulk embedding capacity. However, existing …
due to their potential for provable security and bulk embedding capacity. However, existing …