Results 71 to 80 of about 6,801,187 (249)
LSSD: A Controlled Large JPEG Image Database for Deep-Learning-Based Steganalysis “Into the Wild”
Organized in conjunction with ICPR2020 The 25th International Conference on Pattern Recognition, Milan, Italy, January 10-15, 2021International audienceFor many years, the image databases used in steganalysis have been relatively small, i.e.
Comby, Frédéric +9 more
core +1 more source
Progressive selection‐channel networks for image steganalysis
Steganalysis is a detection technology against steganography that embeds secret data into digital media carriers. The selection channel, which indicates the embedding details of steganography, is well recognized in boosting the detection performance of ...
Tian Wu +4 more
semanticscholar +1 more source
This paper proposes a novel image steganographic method based on an enhanced Pyramid Integer Wavelet Transform (PIWT) combined with a Modified Optimal Pixel Adjustment Process (MOPAP). The PIWT enables integer‐to‐integer transformation, avoiding floating‐point computations and improving its suitability for efficient implementation.
Ali Yahya Al‐Ashwal +2 more
wiley +1 more source
Coverless Image Steganography Based on Generative Adversarial Network
Traditional image steganography needs to modify or be embedded into the cover image for transmitting secret messages. However, the distortion of the cover image can be easily detected by steganalysis tools which lead the leakage of the secret message. So
Jiaohua Qin +5 more
doaj +1 more source
Implementasi Steganografi Gambar Menggunakan Algoritma Generative Adversarial Network
In the era of information technology, it is very important to protect data and information so that irresponsible parties do not misuse it. One technique for securing data is steganography. Steganography is a technique of hiding messages in a medium.
Khairunnisak Khairunnisak +2 more
doaj +1 more source
Detecting Deepfakes Using Two‐Stream Framework Based on EfficientNet and Vision Transformer
The ever‐growing threat of deepfake technology has stimulated research in deepfake forensics to identify the genuineness of media materials on the Internet. The majority of existing techniques employ the convolutional neural network (CNN) framework to identify deepfake by capturing the image’s local features.
Qiang Yang +4 more
wiley +1 more source
This paper proposed a new image Steganalysis scheme based on statistical moments of histogram of multi-level wavelet subbands in frequency domain. These wavelet subbands derived from an image that has some of least significant bits of the grey level test
Mehrabi, Ali (R20330) +2 more
core +1 more source
Stego-Image Synthesis Employing Data-Driven Continuous Variable Representations of Cover Images
The security of stego-images is a crucial foundation for analyzing steganography algorithms. Recently, steganography has made significant strides in ongoing conflicts with steganalysis.
Saleh Naif Almuayqil +4 more
doaj +1 more source
3D point cloud models are being utilized more and more in computer vision, virtual reality, intelligent manufacturing, and cultural heritage preservation as a result of the quick advancements in computer graphics and 3D modeling technologies. Therefore, protecting the copyright and data integrity of 3D models has become an important issue.
Hui Wang, Ling Qin, Gaetano Sequenzia
wiley +1 more source
Abstract The spread of image editing tools demonstrates how modern mixed‐media technology enables changes in digital images. Such easy access raises severe moral and legal concerns around the potential for malicious image editing. Overcoming this difficulty will need the development of innovative approaches for the quick detection of changes in high ...
Arslan Akram +4 more
wiley +1 more source

