Get started
Author

Dahuin Jung

Observed name: Jung, Dahuin
ORCID: 0000-0002-1344-1054
Observed ORCID: 0000-0002-1344-1054
OpenAlex ID: A5010990289
Security and Privacy Issues in Deep Learning
2018 · Bae, Ho, Jang, Jaehee, et al. · arXiv (Cornell University) · 105
PDF
Probabilistic Concept Bottleneck Models
2023 · Kim, Eunji, Jung, Dahuin, et al. · arXiv (Cornell University) · 82
PDF
Generating Instance-level Prompts for Rehearsal-free Continual Learning
2023 · Dahuin Jung, Dongyoon Han, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 70
FedClassAvg: Local Representation Learning for Personalized Federated Learning on Heterogeneous Neural Networks
2022 · Jaehee Jang, Heoneok Ha, et al. · Proceedings of the International Conference on Parallel Processing · 56
PDF
Confidence Score for Source-Free Unsupervised Domain Adaptation
2022 · Lee, Jonghyun, Jung, Dahuin, et al. · arXiv (Cornell University) · 55
PDF
Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors
2024 · Lee, Jonghyun, Jung, Dahuin, et al. · arXiv (Cornell University) · 44
PDF
Imbalanced Data Classification via Cooperative Interaction Between Classifier and Generator
2021 · Hyun-Soo Choi, Dahuin Jung, et al. · IEEE Transactions on Neural Networks and Learning Systems · 43
PDF
AnomiGAN: Generative Adversarial Networks for Anonymizing Private Medical Data
2019 · Ho Bae, Dahuin Jung, et al. · Pacific Symposium on Biocomputing (PSB) · 40
Diffusion-Stego: Training-free diffusion generative steganography via message projection
2025 · Daegyu Kim, Chaehun Shin, et al. · Information Sciences · 37
PDF
HexaGAN: Generative Adversarial Nets for Real World Classification
2019 · Hwang, Uiwon, Jung, Dahuin, et al. · arXiv (Cornell University) · 37
PDF
Real-world prediction of preclinical Alzheimer’s disease with a deep generative model
2023 · Uiwon Hwang, Sung-Woo Kim, et al. · Artificial Intelligence in Medicine · 35
PixelSteganalysis: Pixel-Wise Hidden Information Removal With Low Visual Degradation
2021 · Dahuin Jung, Ho Bae, et al. · IEEE Transactions on Dependable and Secure Computing · 33
PDF
PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising
2023 · Hyemi Jang, Junsung Park, et al. · neural information processing systems · 25
PDF
Improving Visual Prompt Tuning for Self-supervised Vision Transformers
2023 · Yoo, Seungryong, Kim, Eunji, et al. · arXiv (Cornell University) · 24
PDF
LIBERO-Para: A Diagnostic Benchmark and Metrics for Paraphrase Robustness in VLA Models
2026 · Chanyoung Kim, Minwoo Kim, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 17
PDF
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning
2023 · Jung, Dahuin, Lee, Dongjin, et al. · arXiv (Cornell University) · 16
PDF
iCaps: An Interpretable Classifier via Disentangled Capsule Networks
2020 · Dahuin Jung, Jonghyun Lee, et al. · Lecture notes in computer science · 15
PDF
Disentangled Motion Modeling for Video Frame Interpolation
2025 · Jaihyun Lew, Jooyoung Choi, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 12
PDF
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection
2023 · Sangha Park, Jisoo Mok, et al. · neural information processing systems · 10
PDF
Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation
2024 · Yeongtak Oh, Jonghyun Lee, et al. · Lecture notes in computer science · 8
PDF
EntUn: Mitigating the forget-retain dilemma in unlearning via entropy
2025 · Dahuin Jung · ICT Express · 4
Stein Latent Optimization for Generative Adversarial Networks
2021 · Hwang, Uiwon, Kim, Heeseung, et al. · arXiv (Cornell University) · 3
PDF
Balancing Saliency and Coverage: Semantic Prominence-Aware Budgeting for Visual Token Compression in VLMs
2026 · Lee, Jaehoon, Jung, Mingi, et al. · arXiv (Cornell University) · 2
PDF
Sample-efficient Adversarial Imitation Learning
2023 · Jung, Dahuin, Lee, Hyungyu, et al. · arXiv (Cornell University) · 2
PDF
FEAT: Fashion Editing and Try-On from Any Design
2026 · Kwon, Soye, Lee, Keonyoung, et al. · arXiv (Cornell University) · 1
PDF
Works count: 39
Citation count: 778
H-index: 16
I10-index: 19
Year
Topic
Type