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)

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)

Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input. - Junyoung Byun; Seungju Cho; Myung-Joon Kwon; Hee-Seon Kim; Changick Kim (CVPR, 2022)

Adversarial Training with Channel Attention Regularization. - Seungju Cho; Junyoung Byun; Myung-Joon Kwon; Yoonji Kim; Changick Kim (ICIP, 2022)

Adaptive Warping Network for Transferable Adversarial Attacks. - Minji Son; Myung-Joon Kwon; Hee-Seon Kim; Junyoung Byun; Seungju Cho; Changick Kim (ICIP, 2022)

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)

Introducing Competition to Boost the Transferability of Targeted Adversarial Examples Through Clean Feature Mixup. - Junyoung Byun; Myung-Joon Kwon; Seungju Cho; Yoonji Kim; Changick Kim (CVPR, 2023)

Breaking Temporal Consistency: Generating Video Universal Adversarial Perturbations Using Image Models. - Hee-Seon Kim; Minji Son; Minbeom Kim; Myung-Joon Kwon; Changick Kim (ICCV, 2023)

Improving Adversarial Transferability Via Feature Translation. - Yoonji Kim; Seungju Cho; Junyoung Byun; Myung-Joon Kwon; Changick Kim (ICIP, 2023)

FRIDAY: Mitigating Unintentional Facial Identity in Deepfake Detectors Guided by Facial Recognizers. - Younghun Kim; Myung-Joon Kwon; Wonjun Lee; Changick Kim (VCIP, 2024)

FRIDAY: Mitigating Unintentional Facial Identity in Deepfake Detectors Guided by Facial Recognizers. - Younhun Kim; Myung-Joon Kwon; Wonjun Lee; Changick Kim (CoRR, 2024)

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

SELFI: Selective Fusion of Identity for Generalizable Deepfake Detection. - Younghun Kim; Minsuk Jang; Myung-Joon Kwon; Wonjun Lee; Changick Kim (CoRR, 2025)