BASN—Learning Steganography with a Binary Attention Mechanism
نویسندگان
چکیده
منابع مشابه
Edge Steganography for Binary Image
In order to improve the steganographic robustness of the algorithm in binary images, suppose an new steganographic method which deals with the edge of the binary image using mathematical morphology and combines F5 encoding method to embedded information. Marginalization and reconstruction on binary image by dilation and erosion operations, and tag blocks that can embed information to. Finally e...
متن کاملModelling of Eyeball with Pan/Tilt Mechanism and Intelligent Face Recognition Using Local Binary Pattern Operator
This paper describes the vision system for a humanoid robot, which includes the mechanism that controls eyeball orientation and blinking process. Along with the mechanism designed, the orientation of the camera, integrated with controlling servomotors. This vision system is a bio-mimic, which is designed to match the size of human eye. This prototype runs face recognition and identifies, match...
متن کاملDistortion-Free Steganography Mechanism with Compression to VQ Indices
Directly embedding the secret data into the VQ-compressed domain is practical for reducing storage and transmittal bandwidth. Many steganography techniques are currently exploited for the VQ index table. However, embedding strategies extend the amount of compression needed for embedding secret data and distort the original quality of the VQ decompressed image. To satisfy the essentials of incre...
متن کاملAnomaly-based Web Attack Detection: The Application of Deep Neural Network Seq2Seq With Attention Mechanism
Today, the use of the Internet and Internet sites has been an integrated part of the people’s lives, and most activities and important data are in the Internet websites. Thus, attempts to intrude into these websites have grown exponentially. Intrusion detection systems (IDS) of web attacks are an approach to protect users. But, these systems are suffering from such drawbacks as low accuracy in ...
متن کاملA Selective Sparse Coding Model with Embedded Attention Mechanism
Sparse coding theory demonstrates that the neurons in the primary visual cortex form a sparse representation of natural scenes in the viewpoint of statistics, but a typical scene contains many different patterns (corresponding to neurons in cortex) competing for neural representation because of the limited processing capacity of the visual system. We propose an attention-guided sparse coding mo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Future Internet
سال: 2020
ISSN: 1999-5903
DOI: 10.3390/fi12030043