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] Imperceptible Protection Against Style Imitation from Diffusion Models [link] 

• Namhyuk Ahn, Wonhyuk Ahn, KiYoon Yoo, Daesik Kim, Seung-Hun Nam* 

• Accepted for publication in IEEE Transactions on Multimedia (SCIE), 2025

[J16] Audio Adversarial Detection through Classification Score on Speech Recognition Systems [link] 

• ‪Hyun Kwon and Seung-Hun Nam

• Computers & Security (SCIE), 2023

[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 (SCIE), 2022

[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 (SCIE), 2022

[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 (SCIE), 2022

[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 (SCIE), 2021

[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 (SCIE), 2021

[J10] BitMix: Data Augmentation for Image Steganalysis [link]

• In-Jae Yu, Wonhyuk Ahn, Seung-Hun Nam, Heung-Kyu Lee

• Electronics Letters (SCIE), 2020

[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 (SCIE), 2020

[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 (SCIE), 2020

[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 (SCIE), 2020

[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 (SCIE), 2020

[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 (SCIE), 2019

[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 (SCIE), 2019

[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 (SCIE), 2018

[J2] Blind Curvelet Watermarking Method for High-Quality Images [link]

• Wook-Hyung Kim, Seung-Hun Nam,  Heung-Kyu Lee

• Electronics Letters (SCIE), 2017

[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

[P2] 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 Research Engineer, NAVER WEBTOON AI, NAVER WEBTOON (Dec. 2020 ~ present)

  • AI Researcher (Dec. 2020 ~ June 2025)

    • Lead of AI Protection Team (Aug. 2023 ~ June 2025)

    • Research for Protecting the Creative Ecosystem 

  • AI Research Engineer (July 2025 ~)

    • Research and Engineering for Workflow Efficiency 

• Postdoctoral Research Associate, Multimedia Computing Laboratory, KAIST (Sep. 2020 ~ Nov. 2020)

• Intern, KT Corporation (Jul. 2011 ~ Aug. 2011)

Honors and wards

• 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)

  • Received the award in recognition of excellence in AI-based synthetic image (e.g., Deepfake) detection

• Outstanding TA Award, School of Computing, KAIST (2015)

  • TA of Introduction to Computer Application

• Certificate of Assessment, IHC Evaluation Criteria and Competition, IHC committee (2014)

  • Received certification for the robustness of video watermarking submitted to the competition

Invited Talks, Technical Reports, and Press

• TEAM NAVER CONFERENCE: DAN 24 (DEVIEW Track) (2024)

  • Invited Talk: "Technology for Protecting the Creative Ecosystem" (AI Protection Team)  [link]

• Interviewed by Maeil Business Newspaper (2024)

  • Press: “XPIDER: Harmful Content Filtering Technology" (AI Protection Team)  [link]

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)