28 citations · 46 across the 6 of their papers we have counts for
6 papers
Robust Multi-bit Natural Language Watermarking through Invariant Features
KiYoon Yoo, Wonhyuk Ahn, Jiho Jang +1
Recent years have witnessed a proliferation of valuable original natural language contents found in subscription-based media outlets, web novel platforms, and outputs of large lang…
DHNet: Double MPEG-4 Compression Detection via Multiple DCT Histograms
Seung-Hun Nam, Wonhyuk Ahn, Myung-Joon Kwon +2
In this article, we aim to detect the double compression of MPEG-4, a universal video codec that is built into surveillance systems and shooting devices. Double compression is acco…
Frame-rate Up-conversion Detection Based on Convolutional Neural Network for Learning Spatiotemporal Features
Minseok Yoon, Seung-Hun Nam, In-Jae Yu +3
With the advance in user-friendly and powerful video editing tools, anyone can easily manipulate videos without leaving prominent visual traces. Frame-rate up-conversion (FRUC), a…
From Attack to Protection: Leveraging Watermarking Attack Network for Advanced Add-on Watermarking
Seung-Hun Nam, Jihyeon Kang, Daesik Kim +2
Multi-bit watermarking (MW) has been designed to enhance resistance against watermarking attacks, such as signal processing operations and geometric distortions. Various benchmark…
Deep Convolutional Neural Network for Identifying Seam-Carving Forgery
Seung-Hun Nam, Wonhyuk Ahn, In-Jae Yu +3
Seam carving is a representative content-aware image retargeting approach to adjust the size of an image while preserving its visually prominent content. To maintain visually impor…
BitMix: Data Augmentation for Image Steganalysis
In-Jae Yu, Wonhyuk Ahn, Seung-Hun Nam +1
Convolutional neural networks (CNN) for image steganalysis demonstrate better performances with employing concepts from high-level vision tasks. The major employed concept is to us…