Security and Privacy Issues in Deep Learning H Bae, J Jang, D Jung, H Jang, H Ha, H Lee, S Yoon arXiv preprint arXiv:1807.11655, 2018 | 100 | 2018 |
Confidence Score for Source-Free Unsupervised Domain Adaptation J Lee, D Jung, J Yim, S Yoon International Conference on Machine Learning (ICML) 2022, 2022 | 72 | 2022 |
HexaGAN: Generative Adversarial Nets for Real World Classification U Hwang, D Jung, S Yoon International Conference on Machine Learning (ICML) 2019, 2019 | 54 | 2019 |
Probabilistic Concept Bottleneck Models E Kim, D Jung, S Park, S Kim, S Yoon International Conference on Machine Learning (ICML) 2023, 2023 | 43 | 2023 |
AnomiGAN: Generative Adversarial Networks for Anonymizing Private Medical Data H Bae, D Jung, HS Choi, S Yoon Pacific Symposium on Biocomputing (PSB) 2020, 2019 | 37 | 2019 |
Imbalanced Data Classification via Cooperative Interaction between Classifier and Generator HS Choi, D Jung, S Kim, S Yoon IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS) 2022, 2021 | 25 | 2021 |
Pixelsteganalysis: Pixel-wise Hidden Information Removal with Low Visual Degradation D Jung, H Bae, HS Choi, S Yoon IEEE Transactions on Dependable and Secure Computing (IEEE TDSC) 2023, 2021 | 21* | 2021 |
Generating Instance-level Prompts for Rehearsal-free Continual Learning D Jung, D Han, J Bang, H Song International Conference on Computer Vision (ICCV) 2023 (Oral), 2023 | 18 | 2023 |
FedClassAvg: Local Representation Learning for Personalized Federated Learning on Heterogeneous Neural Networks J Jang, H Ha, D Jung, S Yoon International Conference on Parallel Processing (ICPP) 2022, 2022 | 17 | 2022 |
Improving Visual Prompt Tuning for Self-supervised Vision Transformers S Yoo, E Kim, D Jung, J Lee, S Yoon International Conference on Machine Learning (ICML) 2023, 2023 | 13 | 2023 |
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning D Jung, D Lee, S Hong, H Jang, H Bae, S Yoon International Conference on Learning Representations (ICLR) 2023, 2023 | 11 | 2023 |
iCaps: An Interpretable Classifier via Disentangled Capsule Networks D Jung, J Lee, J Yi, S Yoon European Conference on Computer Vision (ECCV) 2020, 2020 | 11 | 2020 |
Entropy is not Enough for Test-time Adaptation: From the Perspective of Disentangled Factors J Lee*, D Jung*, S Lee, J Park, J Shin, U Hwang, S Yoon International Conference on Learning Representations (ICLR) 2024 (Spotlight), 2023 | 6 | 2023 |
Diffusion-stego: Training-free diffusion generative steganography via message projection D Kim, C Shin, J Choi, D Jung, S Yoon arXiv preprint arXiv:2305.18726, 2023 | 6 | 2023 |
Real-world Prediction of Preclinical Alzheimer’s Disease with a Deep Generative Model U Hwang, SW Kim, D Jung, SW Kim, H Lee, SW Seo, JK Seong, S Yoon, ... Artificial Intelligence in Medicine 2023, 2023 | 3 | 2023 |
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection S Park, J Mok, D Jung, S Lee, S Yoon Neural Information Processing Systems (NeurIPS) 2023, 2023 | 2 | 2023 |
Stein Latent Optimization for Generative Adversarial Networks U Hwang, H Kim, D Jung, H Jang, H Lee, S Yoon International Conference on Learning Representations (ICLR) 2022, 2021 | 2 | 2021 |
Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation Y Oh, J Lee, J Choi, D Jung, U Hwang, S Yoon European Conference on Computer Vision (ECCV) 2024, 2024 | 1 | 2024 |
CLeAR: Continual Learning on Algorithmic Reasoning for Human-like Intelligence BG Kang, HG Kim, D Jung, S Yoon Neural Information Processing Systems (NeurIPS) 2023, 2023 | 1 | 2023 |
PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising H Jang, J Park, D Jung, J Lew, H Bae, S Yoon Neural Information Processing Systems (NeurIPS) 2023, 2023 | 1 | 2023 |