Investigating imperceptibility of adversarial attacks on tabular data: An empirical analysis
Intelligent Systems With ApplicationsAdversarial attacks are a potential threat to machine learning models by causing incorrect predictions through imperceptible perturbations to the input data.
Chun Ouyang +2 more
exaly +4 more sources
Adversarial Attack Based on Perturbation of Contour Region to Evade Steganalysis-Based Detection
IEEE Access, 2021 Deep neural networks (DNN) are applied in various fields because they afford good performance. However, they seem vulnerable to adversarial examples. Therefore, studies are actively investigating adversarial defenses to improve the robustness of DNNs as ...
Hyunsik Na, Gwonsang Ryu, Daeseon Choi
doaj +1 more source
Color Images Hiding Based on Wavelet Based Fusion [PDF]
Engineering and Technology Journal, 2011 At present, information is being communicated and proceeds automatically on a large scale. Hence, the required measures for secure storage and transporting of the information are increased. The protection of the information is necessary to guard economic
Saddam Kamil Alwane
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MTS-Stega: Linguistic Steganography Based on Multi-Time-Step
Entropy, 2022 Generative linguistic steganography encodes candidate words with conditional probability when generating text by language model, and then, it selects the corresponding candidate words to output according to the confidential message to be embedded ...
Long Yu +3 more
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DARI-Mark: Deep Learning and Attention Network for Robust Image Watermarking
Mathematics, 2022 At present, deep learning has achieved excellent achievements in image processing and computer vision and is widely used in the field of watermarking. Attention mechanism, as the research hot spot of deep learning, has not yet been applied in the field ...
Yimeng Zhao +3 more
doaj +1 more source
An Enhanced Steganography Network for Concealing and Protecting Secret Image Data
Entropy, 2022 The development of Internet technology has provided great convenience for data transmission and sharing, but it also brings serious security problems that are related to data protection. As is detailed in this paper, an enhanced steganography network was
Feng Chen +4 more
doaj +1 more source
Robust Speech Steganography Using Differential SVD
IEEE Access, 2019 The speech signal is different from the typical audio in terms of spectral bandwidth, intensity distribution, and signal continuity, thus how to achieve high imperceptibility and strong robustness for speech steganography is a big challenge.
Yiming Xue +5 more
doaj +1 more source
A Novel RDA-Based Network to Conceal Image Data and Prevent Information Leakage
Mathematics, 2022 Image data play an important role in our daily lives, and scholars have recently leveraged deep learning to design steganography networks to conceal and protect image data.
Feng Chen +4 more
doaj +1 more source
Probabilistic Analysis of Targeted Attacks Using Transform-Domain Adversarial Examples
IEEE Access, 2020 In the past decade, Deep Neural Networks (DNNs) have achieved breakthrough collaborations in developing smart intelligent systems within the field of computer vision, natural language processing, autonomous systems, etc. Recent research has revealed that
Zakia Yahya +3 more
doaj +1 more source
Quantum Image Steganography Protocol Based on Quantum Image Expansion and Grover Search Algorithm
IEEE Access, 2019 Quantum image steganography is one of the important research branches of quantum secure communications. In this paper, a large payload quantum image steganography protocol based on quantum image expansion and the Grover search algorithm is proposed.
Zhiguo Qu +4 more
doaj +1 more source