publications

(* indicates equal contribution.)

2025

  1. Nearly Zero-Cost Protection Against Mimicry by Personalized Diffusion Models
    Namhyuk Ahn, KiYoon Yoo, Wonhyuk Ahn, Daesik Kim, Seung-Hun Nam
    In CVPR, 2025

2024

  1. Advancing beyond identification: Multi-bit watermark for large language models
    KiYoon Yoo, Wonhyuk Ahn, Nojun Kwak
    In NAACL, 2024
    arXiv Github
  2. Exploring Causal Mechanisms for Machine Text Detection Methods
    KiYoon Yoo, Wonhyuk Ahn, Yeji Song, Nojun Kwak
    In Workshop on Trustworthy Natural Language Processing at NAACL, 2024
  3. TEAM MIPAL at MEDIQA-M3G 2024: Large VQA Models for Dermatological Diagnosis
    Hyeonjin Kim, Min Kyu Kim, Jae Won Jang, KiYoon Yoo, Nojun Kwak
    In Workshop on ClinicalNLP at NAACL, 2024
  4. Open Domain Generalization with a Single Network by Regularization Exploiting Pre-trained Features
    Inseop Chung, KiYoon Yoo, Nojun Kwak
    In Workshop on Data-centric Machine Learning Research at ICLR, 2024
  5. Imperceptible Protection against Style Imitation from Diffusion Models
    NamHyuk Ahn, WonHyuk Ahn, KiYoon Yoo, DaeSik Kim, SeungHoon Nam
    arXiv preprint, 2024
  6. Hardware-Friendly Post-Training Quantization: Input-and Output-Channelwise Scale and Offset
    Geunjae Choi, Kamin Lee, KiYoon Yoo, Nojun Kwak
    arXiv preprint, 2024

2023

  1. Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights
    Jangho Kim, Jayeon Yoo, Yeji Song, KiYoon Yoo, Nojun Kwak
    In ACM MM, 2023
  2. Who Leaked My Document? Robust Natural Language Watermarking through Invariant Features
    KiYoon Yoo, WonHyuk Ahn, Jiho Jang, Nojun Kwak
    In ACL, 2023
  3. Self-Distilled Self-Supervised Representation Learning
    Jiho Jang, KiYoon Yoo, Seonhoon Kim, Kong Chaerin, Jangho Kim, Nojun Kwak
    In WACV, 2023

2022

  1. Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling
    KiYoon Yoo, Nojun Kwak
    In EMNLP, 2022
  2. Detection of Word Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation
    KiYoon Yoo, Jangho Kim, Jiho Jang, Nojun Kwak
    In Findings of ACL, 2022

2021

  1. Deep Learning Model for Real-Time Prediction of Intradialytic Hypotension
    Hojun Lee, Donghwan Yun, Jayeon Yoo, KiYoon Yoo, Yong Chul Kim, Dong Ki Kim, Kook-Hwan Oh, Kwon Wook Joo, Yon Su Kim, Nojun Kwak, and 1 more author
    Clinical Journal of the American Society of Nephrology, 2021

2020

  1. Position-based Scaled Gradient for Model Quantization and Sparse Training
    Jangho Kim, KiYoon Yoo, Nojun Kwak
    In NeurIPS, 2020