Search Results for author: Wonhyuk Ahn

Found 9 papers, 3 papers with code

Imperceptible Protection against Style Imitation from Diffusion Models

no code implementations28 Mar 2024 Namhyuk Ahn, Wonhyuk Ahn, KiYoon Yoo, Daesik Kim, Seung-Hun Nam

Recent progress in diffusion models has profoundly enhanced the fidelity of image generation.

Image Generation

Advancing Beyond Identification: Multi-bit Watermark for Large Language Models

1 code implementation1 Aug 2023 KiYoon Yoo, Wonhyuk Ahn, Nojun Kwak

By independently embedding sub-units of messages, the proposed method outperforms the existing works in terms of robustness and latency.

Language Modelling Position

Robust Multi-bit Natural Language Watermarking through Invariant Features

1 code implementation3 May 2023 KiYoon Yoo, Wonhyuk Ahn, Jiho Jang, Nojun Kwak

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 language models.

DHNet: Double MPEG-4 Compression Detection via Multiple DCT Histograms

no code implementations19 Jul 2021 Seung-Hun Nam, Wonhyuk Ahn, Myung-Joon Kwon, Jihyeon Kang, In-Jae Yu

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.

Quantization

Frame-rate Up-conversion Detection Based on Convolutional Neural Network for Learning Spatiotemporal Features

no code implementations25 Mar 2021 Minseok Yoon, Seung-Hun Nam, In-Jae Yu, Wonhyuk Ahn, Myung-Joon Kwon, Heung-Kyu Lee

The proposed network uses a stack of consecutive frames as the input and effectively learns interpolation artifacts using network blocks to learn spatiotemporal features.

Video Editing Video Forensics

WAN: Watermarking Attack Network

no code implementations14 Aug 2020 Seung-Hun Nam, In-Jae Yu, Seung-Min Mun, Daesik Kim, Wonhyuk Ahn

Multi-bit watermarking (MW) has been developed to improve robustness against signal processing operations and geometric distortions.

Deep Convolutional Neural Network for Identifying Seam-Carving Forgery

no code implementations5 Jul 2020 Seung-Hun Nam, Wonhyuk Ahn, In-Jae Yu, Myung-Joon Kwon, Minseok Son, Heung-Kyu Lee

Seam carving is a representative content-aware image retargeting approach to adjust the size of an image while preserving its visually prominent content.

Image Forensics Image Retargeting

BitMix: Data Augmentation for Image Steganalysis

1 code implementation30 Jun 2020 In-Jae Yu, Wonhyuk Ahn, Seung-Hun Nam, Heung-Kyu Lee

Convolutional neural networks (CNN) for image steganalysis demonstrate better performances with employing concepts from high-level vision tasks.

Data Augmentation Steganalysis

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