Hongsin Lee

Ph.D. Student
KAIST
hongsin04@kaist.ac.kr

News

[Jan. 2025] Two papers about adversarial training are accepted to ICLR 2025.
[Dec. 2024] One paper about adversarial training is accepted to AAAI 2025.

Publications

Indirect Gradient Matching for Adversarial Robust Distillation

Hongsin Lee*, Seungju Cho*, Changick Kim (*Equal contribution)

International Conference on Learning Representations (ICLR), 2025.

PDF OpenReview Code(Zipfile)
Long-tailed Adversarial Training with Self-Distillation

Seungju Cho*, Hongsin Lee*, Changick Kim (*Equal contribution)

International Conference on Learning Representations (ICLR), 2025.

PDF OpenReview Code(Zipfile)
Enhancing Robustness in Incremental Learning with Adversarial Training

Seungju Cho*, Hongsin Lee*, Changick Kim (*Equal contribution)

AAAI Conference on Artificial Intelligence (AAAI), 2025

PDF Code(Github)

Education

Ph.D. in Electrical Engineering, KAIST (Mar. 2025 – Present)
M.S. in Electrical Engineering, KAIST (Mar. 2023 – Feb. 2025)
- Thesis: “Indirect Gradient Matching for Adversarial Robust Distillation”
B.S. in Electrical Engineering, KAIST (Mar. 2017 – Feb. 2023)

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