Seung-Hun Nam [Google Scholar] [Linkedin]
AI Researcher at NAVER WEBTOON AI
shnam1520 [at] gmail [dot] com
Seung-Hun Nam [Google Scholar] [Linkedin]
AI Researcher at NAVER WEBTOON AI
shnam1520 [at] gmail [dot] com
I am an AI researcher at NAVER WEBTOON AI, leading the AI Protection Team. Before joining NAVER WEBTOON AI, I worked as a postdoctoral research associate in the Multimedia Computing Laboratory at the Korea Advanced Institute of Science and Technology (KAIST). I received my Ph.D. degree from KAIST under the supervision of Professor Heung-Kyu Lee.
My research interests include:
Digital Watermarking & Multimedia Forensics
Protection Against Style Imitation from Diffusion Models
Harmful Content Moderation
Copyright-Protective Webtoon Retrieval
Portrait Stylization & Story Visualization
Publications
International Conference & Workshop
[W2] Bayesian Inference for Robust Video Watermarking [link]
Wonhyuk Ahn, Jihyeon Kang, Seung-Hun Nam
International Conference on Learning Representations (ICLR) 2025 Workshop on GenAI Watermarking
[C9] Nearly Zero-Cost Protection Against Mimicry by Personalized Diffusion Models [link]
Namhyuk Ahn, KiYoon Yoo, Wonhyuk Ahn, Daesik Kim, Seung-Hun Nam
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025
[C8] VisAgent: Narrative-Preserving Story Visualization Framework [link]
Seungkwon Kim, GyuTae Park, Sangyeon Kim, Seung-Hun Nam
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025
[C7] SAFIRE: Segment Any Forged Image Region [link]
Myung-Joon Kwon, Wonjun Lee, Seung-Hun Nam, Minji Son, Changick Kim
Association for the Advancement of Artificial Intelligence (AAAI) 2025
[C6] A Framework for Portrait Stylization wiith Skin-tone Awareness and Nudity Identification [link]
Seungkwon Kim, Sangyeon Kim, Seung-Hun Nam
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2024
[C5] DreamStyler: Paint by Style Inversion with Text-to-Image Diffusion Models [link]
Namhyuk Ahn, Junsoo Lee, Chunggi Lee, Kunhee Kim, Daesik Kim, Seung-Hun Nam, Kibeom Hong
Association for the Advancement of Artificial Intelligence (AAAI) 2024
[C4] WAN: Watermarking Attack Network [link]
Seung-Hun Nam, In-Jae Yu, Seung-Min Mun, Daesik Kim, Wonhyuk Ahn
British Machine Vision Conference (BMVC) 2021
[C3] CAT-Net: Compression Artifact Tracing Network for Detection and Localization of Image Splicing [link]
Myung-Joon Kwon, In-Jae Yu, Seung-Hun Nam, Heung-Kyu Lee
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2021
[C2] Two-Stream Network for Detecting Double Compression of H.264 Videos [link]
Seung-Hun Nam, Jinseok Park, Dongkyu Kim, In-Jae Yu, Tae-Yeon Kim, Heung-Kyu Lee
IEEE International Conference on Image Processing (ICIP) 2019
[C1] Content-Aware Image Resizing Detection using Deep Neural Network [link]
Seung-Hun Nam, Wonhyuk Ahn, Seung-Min Mun, Jinseok Park, Dongkyu Kim, In-Jae Yu, Heung-Kyu Lee
IEEE International Conference on Image Processing (ICIP) 2019
[W1] Robust Video Watermarking for MPEG Compression and DA-AD Conversion [link]
Jong-Uk Hou, Jinseok Park, Do-Guk Kim, Seung-Hun Nam, Heung-Kyu Lee
International Workshop on Information Hiding and its Criteria for Evaluation (IWIHC) 2014
International Journal
[J17] (Accept!!) Imperceptible Protection Against Style Imitation from Diffusion Models [link]
Namhyuk Ahn, Wonhyuk Ahn, KiYoon Yoo, Daesik Kim, Seung-Hun Nam*
IEEE Transactions on Multimedia, 2025
[J16] Audio Adversarial Detection through Classification Score on Speech Recognition Systems [link]
Hyun Kwon and Seung-Hun Nam
Computers & Security, 2023. (SCIE, IF: 5.105)
[J15] Frame-Rate Up-Conversion Detection Based on Convolutional Neural Network for Learning Spatiotemporal Features [link]
Minseok Yoon, Seung-Hun Nam*, In-Jae Yu, Wonhyuk Ahn, Myung-Joon Kwon, Heung-Kyu Lee (*: corresponding author)
Forensic Science International, 2022. (SCIE, IF: 2.676)
[J14] Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization [link]
Myung-Joon Kwon, Seung-Hun Nam, In-Jae Yu, Heung-Kyu Lee, Changick Kim
International Journal of Computer Vision, 2022. (SCIE, IF: 13.369)
[J13] DHNet: Double MPEG-4 Compression Detection via Multiple DCT Histograms [link]
Seung-Hun Nam, Wonhyuk Ahn, Myung-Joon Kwon, Jihyeon Kang, In-Jae Yu
IEEE MultiMedia, 2022. (SCIE, IF: 3.491)
[J12] Dual-Path Convolutional Neural Network for Classifying Fine-Grained Manipulations in H.264 videos [link]
Woogeun Bae*, Seung-Hun Nam*, In-Jae Yu, Myung-Joon Kwon, Minseok Yoon, Heung-Kyu Lee (*: equal contribution)
Multimedia Tools and Applications, 2021. (SCIE, IF: 2.577)
[J11] Deep Convolutional Neural Network for Identifying Seam-Carving Forgery [link]
Seung-Hun Nam, Wonhyuk Ahn, In-Jae Yu, Myung-Joon Kwon, Minseok Son, Heung-Kyu Lee
IEEE Transactions on Circuits and Systems for Video Technology, 2021. (SCIE, IF: 5.859)
[J10] BitMix: Data Augmentation for Image Steganalysis [link]
In-Jae Yu, Wonhyuk Ahn, Seung-Hun Nam, Heung-Kyu Lee
Electronics Letters, 2020. (SCIE, IF: 1.202)
[J9] Manipulation Classification for JPEG Images using Multi-Domain Features [link]
In-Jae Yu, Seung-Hun Nam, Wonhyuk Ahn, Myung-Joon Kwon, Heung-Kyu Lee
IEEE Access, 2020. (SCIE, IF: 3.476)
[J8] Local-Source Enhanced Residual Network for Steganalysis of Digital Images [link]
Wonhyuk Ahn, Haneol Jang, Seung-Hun Nam, In-Jae Yu, Heung-Kyu Lee
IEEE Access, 2020. (SCIE, IF: 3.476)
[J7] NSCT-based Robust and Perceptual Watermarking for DIBR 3D Images [link]
Seung-Hun Nam, Seung-Min Mun, Wonhyuk Ahn, Dongkyu Kim, In-Jae Yu, Wook-Hyung Kim, Heung-Kyu Lee
IEEE Access, 2020. (SCIE, IF: 3.476)
[J6] End‐to‐End Double JPEG Detection with a 3D Convolutional Network in the DCT Domain [link]
Wonhyuk Ahn, Seung-Hun Nam, Minseok Son, Heung-Kyu Lee, Sunghee Choi
Electronics Letters, 2020. (SCIE, IF: 1.202)
[J5] Robust Watermarking in Curvelet Domain for Preserving Cleanness of High-Quality Images [link]
Wook-Hyung Kim, Seung-Hun Nam, Ji-Hyeon Kang, Heung-Kyu Lee
Multimedia Tools and Applications, 2019. (SCIE, IF: 2.577)
[J4] Finding Robust Domain from Attacks: A Learning Framework for Blind Watermarking [link]
Seung-Min Mun, Seung-Hun Nam, Haneol Jang, Dongkyu Kim, Heung-Kyu Lee
Neurocomputing, 2019. (SCIE, IF: 5.779)
[J3] A SIFT Features Based Blind Watermarking for DIBR 3D Images [link]
Seung-Hun Nam, Wook-Hyung Kim, Seung-Min Mun, Jong-Uk Hou, Sunghee Choi, Heung-Kyu Lee
Multimedia Tools and Applications, 2018. (SCIE, IF: 2.577)
[J2] Blind Curvelet Watermarking Method for High-Quality Images [link]
Wook-Hyung Kim, Seung-Hun Nam, Heung-Kyu Lee
Electronics Letters, 2017. (SCIE, IF: 1.202)
[J1] A Practical Decision-Making Model for Security Products Preference
Sungjin Kim*, Junyoung Son*, Seung-Hun Nam*, Chaeho Lim (*: equal contribution)
International Journal of Security and Its Applications, 2014.
Preprint
[P3] From Attack to Protection: Leveraging Watermarking Attack Network for Advanced Add-on Watermarking
Seung-Hun Nam, Jihyeon Kang, Daesik Kim, Namhyuk Ahn, Wonhyuk Ahn
[P1] A Robust Blind Watermarking Using Convolutional Neural Network [link]
Seung-Min Mun, Seung-Hun Nam, Han-Ul Jang, Dongkyu Kim, Heung-Kyu Lee
arXiv:1704.03248, 2017
Education
Ph.D. in Computer Science, KAIST (Sep. 2015 ~ Aug. 2020)
Advisor: Prof. Heung-Kyu Lee
Lab: Multimedia Computing Laboratory
M.S. in Computer Science, KAIST (Sep. 2013 ~ Aug. 2015)
Advisor: Prof. Heung-Kyu Lee
Lab: Multimedia Computing Laboratory
B.S. in Information Communication Engineering, Dongguk University (Mar. 2007 ~ Aug. 2013)
Summa Cum Laude Graduation
Mandatory Military Service, Republic of Korea Army (Aug. 2008 ~ Jun. 2010)
Work Experiences
AI Researcher, NAVER WEBTOON AI, NAVER WEBTOON (Dec. 2020 ~ present)
Lead of AI Protection Team (Aug. 2023 ~ Present)
AI Researcher (Dec. 2020 ~ Present)
Postdoctoral Research Associate, Multimedia Computing Laboratory, KAIST (Sep. 2020 ~ Nov. 2020)
Intern, KT Corporation (Jul. 2011 ~ Aug. 2011)
Honors & Awards & Invited Talks
DAN (TEAM NAVER CONFERENCE) 24 Preseantation (2024)
Technology for Protecting the Creative Ecosystem
Research on Watermarking & Protection Against Style Imitation (https://dan.naver.com/24)
N Innovation Award (R&D track), 3rd prize, NAVER (2024)
Received the N Innovation Award for contributions to protect the creative ecosystem with the AI Protection team.
NAVER Ph.D. Fellowship Award, NAVER (2019)
Artificial Intelligence R&D Challenge Competition, 3rd prize, Ministry of Science and ICT (2018)
Outstanding TA Award, School of Computing, KAIST (2015)
TA of Introduction to Computer Application (CC510)
Certificate of Assessment, IHC Evaluation Criteria and Competition, IHC committee (2014)
Received certification for the robustness of video watermarking submitted to the competition.
Academic Activity
Reviewer
IEEE Transactions on Information Forensics and Security (TIFS)
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
IEEE Transactions on Multimedia (TMM)
IEEE Transactions on Dependable and Secure Computing (TDSC)
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
IEEE Access
IEEE Signal Processing Letters (SPL)
IEICE Transactions on Information and Systems
Expert Systems with Applications
IEEE International Conference on Image Processing (ICIP)
IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR)
ACM Multimedia (MM)