Robust video watermarking for MPEG compression and DA-AD conversion. - Jong-Uk Hou; Jin-Seok Park; Do-Guk Kim; Seung-Hun Nam; Heung-Kyu Lee (IWIHC@AsiaCCS, 2014)

A Robust Blind Watermarking Using Convolutional Neural Network. - Seung-Min Mun; Seung-Hun Nam; Han-Ul Jang; Dongkyu Kim; Heung-Kyu Lee (CoRR, 2017)

Robust curvelet domain watermarking technique that preserves cleanness of high quality images. - Wook-Hyung Kim; Seung-Hun Nam; Ji-Hyeon Kang; Heung-Kyu Lee (CoRR, 2018)

A SIFT features based blind watermarking for DIBR 3D images. - Seung-Hun Nam; Wook-Hyung Kim; Seung-Min Mun; Jong-Uk Hou; Sunghee Choi; Heung-Kyu Lee (Multim. Tools Appl., 2018)

Content-Aware Image Resizing Detection Using Deep Neural Network. - Seung-Hun Nam; Wonhyuk Ahn; Seung-Min Mun; Jin-Seok Park; Dongkyu Kim; In-Jae Yu; Heung-Kyu Lee (ICIP, 2019)

Two-Stream Network for Detecting Double Compression of H.264 Videos. - Seung-Hun Nam; Jin-Seok Park; Dongkyu Kim; In-Jae Yu; Tae-Yeon Kim 003; Heung-Kyu Lee (ICIP, 2019)

Finding robust domain from attacks: A learning framework for blind watermarking. - Seung-Min Mun; Seung-Hun Nam; Haneol Jang; Dongkyu Kim; Heung-Kyu Lee (Neurocomputing, 2019)

Robust watermarking in curvelet domain for preserving cleanness of high-quality images. - Wook-Hyung Kim; Seung-Hun Nam; Ji-Hyeon Kang; Heung-Kyu Lee (Multim. Tools Appl., 2019)

Local-Source Enhanced Residual Network for Steganalysis of Digital Images. - Wonhyuk Ahn; Haneol Jang; Seung-Hun Nam; In-Jae Yu; Heung-Kyu Lee (IEEE Access, 2020)

NSCT-Based Robust and Perceptual Watermarking for DIBR 3D Images. - Seung-Hun Nam; Seung-Min Mun; Wonhyuk Ahn; Dongkyu Kim; In-Jae Yu; Wook-Hyung Kim; Heung-Kyu Lee (IEEE Access, 2020)

Manipulation Classification for JPEG Images Using Multi-Domain Features. - In-Jae Yu; Seung-Hun Nam; Wonhyuk Ahn; Myung-Joon Kwon; Heung-Kyu Lee (IEEE Access, 2020)

BitMix: Data Augmentation for Image Steganalysis. - In-Jae Yu; Wonhyuk Ahn; Seung-Hun Nam; Heung-Kyu Lee (CoRR, 2020)

WAN: Watermarking Attack Network. - Seung-Hun Nam; Wonhyuk Ahn; In-Jae Yu; Seung-Min Mun; Heung-Kyu Lee (CoRR, 2020)

WAN: Watermarking Attack Network. - Seung-Hun Nam; In-Jae Yu; Seung-Min Mun; Daesik Kim; Wonhyuk Ahn (BMVC, 2021)

CAT-Net: Compression Artifact Tracing Network for Detection and Localization of Image Splicing. - Myung-Joon Kwon; In-Jae Yu; Seung-Hun Nam; Heung-Kyu Lee (WACV, 2021)

Frame-rate Up-conversion Detection Based on Convolutional Neural Network for Learning Spatiotemporal Features. - Minseok Yoon; Seung-Hun Nam; In-Jae Yu; Wonhyuk Ahn; Myung-Joon Kwon; Heung-Kyu Lee (CoRR, 2021)

Detection of Double Compression in MPEG-4 Videos Using Refined Features-based CNN. - Seung-Hun Nam; Wonhyuk Ahn; Myung-Joon Kwon; In-Jae Yu (CoRR, 2021)

Dual-path convolutional neural network for classifying fine-grained manipulations in H.264 videos. - Woogeun Bae; Seung-Hun Nam; In-Jae Yu; Myung-Joon Kwon; Minseok Yoon; Heung-Kyu Lee (Multim. Tools Appl., 2021)

Deep Convolutional Neural Network for Identifying Seam-Carving Forgery. - Seung-Hun Nam; Wonhyuk Ahn; In-Jae Yu; Myung-Joon Kwon; Minseok Son; Heung-Kyu Lee (IEEE Trans. Circuits Syst. Video Technol., 2021)

DHNet: Double MPEG-4 Compression Detection via Multiple DCT Histograms. - Seung-Hun Nam; Wonhyuk Ahn; Myung-Joon Kwon; Jihyeon Kang; In-Jae Yu (IEEE Multim., 2022)

Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization. - Myung-Joon Kwon; Seung-Hun Nam; In-Jae Yu; Heung-Kyu Lee; Changick Kim (Int. J. Comput. Vis., 2022)

Audio adversarial detection through classification score on speech recognition systems. - Hyun Kwon; Seung-Hun Nam (Comput. Secur., 2023)

DreamStyler: Paint by Style Inversion with Text-to-Image Diffusion Models. - Namhyuk Ahn; Junsoo Lee; Chunggi Lee; Kunhee Kim; Daesik Kim; Seung-Hun Nam; Kibeom Hong (AAAI, 2024)

A Framework for Portrait Stylization with Skin-Tone Awareness and Nudity Identification. - Seungkwon Kim; Sangyeon Kim; Seung-Hun Nam (ICASSP, 2024)

Imperceptible Protection against Style Imitation from Diffusion Models. - Namhyuk Ahn; Wonhyuk Ahn; KiYoon Yoo; Daesik Kim; Seung-Hun Nam (CoRR, 2024)

SAFIRE: Segment Any Forged Image Region. - Myung-Joon Kwon; Wonjun Lee; Seung-Hun Nam; Minji Son; Changick Kim (AAAI, 2025)

Nearly Zero-Cost Protection Against Mimicry by Personalized Diffusion Models. - Namhyuk Ahn; KiYoon Yoo; Wonhyuk Ahn; Daesik Kim; Seung-Hun Nam (CVPR, 2025)

VisAgent: Narrative-Preserving Story Visualization Framework. - Seungkwon Kim; GyuTae Park; Sangyeon Kim; Seung-Hun Nam (ICASSP, 2025)