Hyeong Gwon Hong

According to our database, Hyeong Gwon Hong authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective.

Hyeong Gwon Hong, Yooshin Cho, Hanbyel Cho, Jaesung Ahn, Junmo Kim

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Data Poisoning Attack Aiming the Vulnerability of Continual Learning.

Gyojin Han, Jaehyun Choi, Hyeong Gwon Hong, Junmo Kim

Proceedings of the IEEE International Conference on Image Processing, 2023

Disposable Transfer Learning for Selective Source Task Unlearning.

Seunghee Koh, Hyounguk Shon, Janghyeon Lee, Hyeong Gwon Hong, Junmo Kim

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Localization using Multi-Focal Spatial Attention for Masked Face Recognition.

Yooshin Cho, Hanbyel Cho, Hyeong Gwon Hong, Jaesung Ahn, Dongmin Cho, JungWoo Chang, Junmo Kim

Proceedings of the 17th IEEE International Conference on Automatic Face and Gesture Recognition, 2023

2022

Training Time Adversarial Attack Aiming the Vulnerability of Continual Learning.

Gyojin Han, Jaehyun Choi, Hyeong Gwon Hong, Junmo Kim

CoRR, 2022

Rethinking Efficacy of Softmax for Lightweight Non-local Neural Networks.

Yooshin Cho, Youngsoo Kim, Hanbyel Cho, Jaesung Ahn, Hyeong Gwon Hong, Junmo Kim

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Closing the Loophole: Rethinking Reconstruction Attacks in Federated Learning from a Privacy Standpoint.

Seung Ho Na, Hyeong Gwon Hong, Junmo Kim, Seungwon Shin

Proceedings of the Annual Computer Security Applications Conference, 2022

2021

Differentiable Architecture Search Based on Coordinate Descent.

Pyunghwan Ahn, Hyeong Gwon Hong, Junmo Kim

IEEE Access, 2021

De-biasing Neural Networks with Estimated Offset for Class Imbalanced Learning.

Byungju Kim, Hyeong Gwon Hong, Junmo Kim

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2020

Continual Learning With Extended Kronecker-Factored Approximate Curvature.

Janghyeon Lee, Hyeong Gwon Hong, Donggyu Joo, Junmo Kim

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Residual Continual Learning.

Janghyeon Lee, Donggyu Joo, Hyeong Gwon Hong, Junmo Kim

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

EDAS: Efficient and Differentiable Architecture Search.

Hyeong Gwon Hong, Pyunghwan Ahn, Junmo Kim

CoRR, 2019