Jihun Hamm
16 papers · 2008–2025 · 10 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (10) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (17)
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(10)
🏃
Academic Marathon
(17)
🧬
Topic Evolution
🏆
Keyword Champion
🗃️
Keyword Collector
(69)
📈
Trend Setter
💎
Century Club
(16)
❓
The Questioner
Conferences
ICML (3)
NIPS (3)
WACV (3)
ACML (1)
AISTATS (1)
CVPR (1)
ECCV (1)
IJCAI (1)
JMLR (1)
MICCAI (1)
Top co-authors
Research topics
Keywords
minimax optimization
(3)
domain adaptation
(2)
bilevel optimization
(2)
adversarial learning
(2)
high-dimensional datum
(2)
differential privacy
(2)
privacy preservation
(2)
domain shift
(2)
data poisoning
(2)
domain generalization
(2)
test-time adaptation
(2)
subspace learning
(1)
certified robustness
(1)
optimal transport
(1)
transfer learning
(1)
vision transformer
(1)
representation learning
(1)
autonomous driving
(1)
few-shot learning
(1)
knowledge transfer
(1)
Papers
SOFA: Deep Learning Framework for Simulating and Optimizing Atrial Fibrillation Ablation
MICCAI 2025
OT-VP: Optimal Transport-Guided Visual Prompting for Test-Time Adaptation
WACV 2025
DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptation
ICML 2025
Enhancing Skin Disease Diagnosis: Interpretable Visual Concept Discovery with SAM
WACV 2025
Understanding the Transferability of Representations via Task-Relatedness
NIPS 2024
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization
WACV 2024
Online Evasion Attacks on Recurrent Models:The Power of Hallucinating the Future
IJCAI 2022
A Spectral View of Randomized Smoothing under Common Corruptions: Benchmarking and Improving Certified Robustness
ECCV 2022
How Robust Are Randomized Smoothing Based Defenses to Data Poisoning?
CVPR 2021
Penalty Method for Inversion-Free Deep Bilevel Optimization
ACML 2021
Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning
NIPS 2021
K-Beam Minimax: Efficient Optimization for Deep Adversarial Learning
ICML 2018
Minimax Filter: Learning to Preserve Privacy from Inference Attacks
JMLR 2017
Learning privately from multiparty data
ICML 2016
Preserving Privacy of Continuous High-dimensional Data with Minimax Filters
AISTATS 2015
Extended Grassmann Kernels for Subspace-Based Learning
NIPS 2008