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ORCIDChangick Kim
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Publications
- 2023
[c92]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: 24648-24657- [c85]Yoonji Kim, Seungju Cho, Junyoung Byun, Myung-Joon Kwon, Changick Kim:
Improving Adversarial Transferability Via Feature Translation. ICIP 2023: 3359-3363 - [i54]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 abs/2305.14846 (2023) - 2022
- [j53]Seunghan Yang
, Hyoungseob Park, Junyoung Byun, Changick Kim:
Robust Federated Learning With Noisy Labels. IEEE Intell. Syst. 37(2): 35-43 (2022) - [c80]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: 15223-15232 - [c79]Junyoung Byun, Kyujin Shim, Hyojun Go, Changick Kim:
Hidden Conditional Adversarial Attacks. ICIP 2022: 1306-1310 - [c78]Junyoung Byun, Hyojun Go, Seungju Cho, Changick Kim:
Exploiting Doubly Adversarial Examples for Improving Adversarial Robustness. ICIP 2022: 1331-1335 - [c76]Seungju Cho, Junyoung Byun, Myung-Joon Kwon, Yoonji Kim, Changick Kim:
Adversarial Training with Channel Attention Regularization. ICIP 2022: 2996-3000 - [c75]Minji Son, Myung-Joon Kwon, Heeseon Kim, Junyoung Byun, Seungju Cho, Changick Kim:
Adaptive Warping Network for Transferable Adversarial Attacks. ICIP 2022: 3056-3060 - [c71]Junyoung Byun, Hyojun Go, Changick Kim:
Geometrically Adaptive Dictionary Attack on Face Recognition. WACV 2022: 3809-3818 - [c70]Junyoung Byun, Hyojun Go, Changick Kim:
On the Effectiveness of Small Input Noise for Defending Against Query-based Black-Box Attacks. WACV 2022: 3819-3828 - [i37]Junyoung Byun, Seungju Cho, Myung-Joon Kwon, Heeseon Kim, Changick Kim:
Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input. CoRR abs/2203.09123 (2022) - 2021
- [c63]Hyojun Go, Junyoung Byun, Changick Kim:
Rethinking Training Schedules For Verifiably Robust Networks. ICIP 2021: 464-468 - [c62]Hyojun Go, Junyoung Byun, Byeongjun Park, Myung-Ae Choi, Seunghwa Yoo, Changick Kim:
Fine-Grained Multi-Class Object Counting. ICIP 2021: 509-513 - [c59]Seungjun Jung, Junyoung Byun, Kyujin Shim, Sanghyun Hwang, Changick Kim:
Understanding Vqa For Negative Answers Through Visual And Linguistic Inference. ICIP 2021: 2873-2877 - [i30]Junyoung Byun, Hyojun Go, Changick Kim:
Small Input Noise is Enough to Defend Against Query-based Black-box Attacks. CoRR abs/2101.04829 (2021) - [i22]Junyoung Byun, Hyojun Go, Changick Kim:
Geometrically Adaptive Dictionary Attack on Face Recognition. CoRR abs/2111.04371 (2021) - 2020
- [c54]Kyujin Shim, Junyoung Byun, Changick Kim:
Multi-Step Quantization Of A Multi-Scale Network For Crowd Counting. ICIP 2020: 683-687 - [i15]Seunghan Yang, Hyoungseob Park, Junyoung Byun, Changick Kim:
Robust Federated Learning with Noisy Labels. CoRR abs/2012.01700 (2020) - 2019
- [i6]Junyoung Byun, Kyujin Shim, Changick Kim:
BitNet: Learning-Based Bit-Depth Expansion. CoRR abs/1910.04397 (2019) - 2018
- [c38]Junyoung Byun, Kyujin Shim, Changick Kim:
BitNet: Learning-Based Bit-Depth Expansion. ACCV (2) 2018: 67-82
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