Myung-Joon Kwon

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 19

Top Topics

Image Manipulation

Convolutional Neural Network

Temporal Consistency

Top Venues

IEEE Trans. Circuits Syst. Video Technol.

Publications

Heeseon Kim, Minji Son, Minbeom Kim, Myung-Joon Kwon, Changick Kim
Breaking Temporal Consistency: Generating Video Universal Adversarial Perturbations Using Image Models. ICCV (2023)
Heeseon Kim, Minji Son, Minbeom Kim, Myung-Joon Kwon, Changick Kim
Breaking Temporal Consistency: Generating Video Universal Adversarial Perturbations Using Image Models. CoRR (2023)
Junyoung Byun, Myung-Joon Kwon, Seungju Cho, Yoonji Kim, Changick Kim
Introducing Competition to Boost the Transferability of Targeted Adversarial Examples through Clean Feature Mixup. CoRR (2023)
Junyoung Byun, Myung-Joon Kwon, Seungju Cho, Yoonji Kim, Changick Kim
Introducing Competition to Boost the Transferability of Targeted Adversarial Examples Through Clean Feature Mixup. CVPR (2023)
Yoonji Kim, Seungju Cho, Junyoung Byun, Myung-Joon Kwon, Changick Kim
Improving Adversarial Transferability Via Feature Translation. ICIP (2023)
Seungju Cho, Junyoung Byun, Myung-Joon Kwon, Yoonji Kim, Changick Kim
Adversarial Training with Channel Attention Regularization. ICIP (2022)
Minji Son, Myung-Joon Kwon, Heeseon Kim, Junyoung Byun, Seungju Cho, Changick Kim
Adaptive Warping Network for Transferable Adversarial Attacks. ICIP (2022)
Seung-Hun Nam, Wonhyuk Ahn, Myung-Joon Kwon, Jihyeon Kang, In-Jae Yu
DHNet: Double MPEG-4 Compression Detection via Multiple DCT Histograms. IEEE Multim. 29 (2) (2022)
Junyoung Byun, Seungju Cho, Myung-Joon Kwon, Heeseon Kim, Changick Kim
Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input. CVPR (2022)
Myung-Joon Kwon, Seung-Hun Nam, In-Jae Yu, Heung-Kyu Lee, Changick Kim
Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization. Int. J. Comput. Vis. 130 (8) (2022)
Junyoung Byun, Seungju Cho, Myung-Joon Kwon, Heeseon Kim, Changick Kim
Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input. CoRR (2022)
Minseok Yoon, Seung-Hun Nam, In-Jae Yu, Wonhyuk Ahn, Myung-Joon Kwon, Heung-Kyu Lee
Frame-rate Up-conversion Detection Based on Convolutional Neural Network for Learning Spatiotemporal Features. CoRR (2021)
Seung-Hun Nam, Wonhyuk Ahn, In-Jae Yu, Myung-Joon Kwon, Minseok Son, Heung-Kyu Lee
Deep Convolutional Neural Network for Identifying Seam-Carving Forgery. IEEE Trans. Circuits Syst. Video Technol. 31 (8) (2021)
Woogeun Bae, Seung-Hun Nam, In-Jae Yu, Myung-Joon Kwon, Minseok Yoon, Heung-Kyu Lee
Dual-path convolutional neural network for classifying fine-grained manipulations in H.264 videos. Multim. Tools Appl. 80 (20) (2021)
Seung-Hun Nam, Wonhyuk Ahn, Myung-Joon Kwon, In-Jae Yu
Detection of Double Compression in MPEG-4 Videos Using Refined Features-based CNN. CoRR (2021)
Myung-Joon Kwon, Seung-Hun Nam, In-Jae Yu, Heung-Kyu Lee, Changick Kim
Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization. CoRR (2021)
Myung-Joon Kwon, In-Jae Yu, Seung-Hun Nam, Heung-Kyu Lee
CAT-Net: Compression Artifact Tracing Network for Detection and Localization of Image Splicing. WACV (2021)
In-Jae Yu, Seung-Hun Nam, Wonhyuk Ahn, Myung-Joon Kwon, Heung-Kyu Lee
Manipulation Classification for JPEG Images Using Multi-Domain Features. IEEE Access 8 (2020)
Seung-Hun Nam, Wonhyuk Ahn, In-Jae Yu, Myung-Joon Kwon, Minseok Son, Heung-Kyu Lee
Deep Convolutional Neural Network for Identifying Seam-Carving Forgery. CoRR (2020)