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Gyusang Cho
Gyusang Cho
Verified email at kaist.ac.kr
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Year
Backpropagating smoothly improves transferability of adversarial examples
C Zhang, P Benz, G Cho, A Karjauv, S Ham, CH Youn, IS Kweon
CVPR 2021 Workshop Workshop on Adversarial Machine Learning in Real-World …, 2021
92021
Trade-off between accuracy, robustness, and fairness of deep classifiers
P Benz, C Zhang, S Ham, A Karjauv, G Cho, IS Kweon
Workshop on Adversarial Machine Learning in Real-World Computer Vision …, 2021
32021
Performance analysis of adaptive resource allocation scheme for OpenCL-based FPGA virtualization system
DC Le, EY Oh, GS Cho, KC Lee, SH Kim, CH Youn
2019 International Conference on Information and Communication Technology …, 2019
32019
Supervised vs. Self-supervised Pre-trained models for Hand Pose Estimation
G Cho, CH Youn
2022 13th International Conference on Information and Communication …, 2022
22022
Early Stop And Adversarial Training Yield Better surrogate Model: Very Non-Robust Features Harm Adversarial Transferability
C Zhang, G Cho, P Benz, K Zhang, C Zhang, CH Youn, IS Kweon
22021
Hybrid Resource Scheduling Scheme for Video Surveillance in GPU-FPGA Accelerated Edge Computing System
G Cho, SH Kim, CH Youn
Advances in Artificial Intelligence and Applied Cognitive Computing …, 2021
12021
FREEDOM: Target Label & Source Data & Domain Information-Free Multi-Source Domain Adaptation for Unsupervised Personalization
E Yang, G Cho, CH Youn
arXiv preprint arXiv:2307.02493, 2023
2023
DELCAS: Deep Reinforcement Learning Based GPU CaaS Packet Scheduling for Stabilizing QoE in 5G Multi-Access Edge Computing
C Lee, K Lee, G Cho, CH Youn
International Conference on Web Engineering, 55-66, 2023
2023
Controlling Dependency: Selectively Resetting Channels for Pre-trained CNN Backbone Network on Hand Pose Estimation
G Cho, CH Youn
2022 13th International Conference on Information and Communication …, 2022
2022
Supervised vs. Self-supervised pre-trained models forHand Pose Estimation
G Cho, CH Youn
ICTC 2022 (The 13th International Conference on ICT Convergence), 2022
2022
Is FGSM Optimal or Necessary for L∞ Adversarial Attack?
C Zhang, A Karjauv, P Benz, S Ham, G Cho, CH Youn, IS Kweon
Workshop on Adversarial Machine Learning in Real-World Computer Vision …, 2021
2021
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