KiYoon Yoo

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 20

Top Topics

Diffusion Models

Natural Language

Invariant Features

Top Venues

Publications

Namhyuk Ahn, Wonhyuk Ahn, KiYoon Yoo, Daesik Kim, Seung-Hun Nam
Imperceptible Protection against Style Imitation from Diffusion Models. CoRR (2024)
KiYoon Yoo, Wonhyuk Ahn, Nojun Kwak
Advancing Beyond Identification: Multi-bit Watermark for Large Language Models. NAACL-HLT (2024)
KiYoon Yoo, Wonhyuk Ahn, Nojun Kwak
Advancing Beyond Identification: Multi-bit Watermark for Language Models. CoRR (2023)
KiYoon Yoo, Wonhyuk Ahn, Jiho Jang, Nojun Kwak
Robust Natural Language Watermarking through Invariant Features. CoRR (2023)
Jangho Kim, Jayeon Yoo, Yeji Song, KiYoon Yoo, Nojun Kwak
Finding Efficient Pruned Network via Refined Gradients for Pruned Weights. ACM Multimedia (2023)
Jiho Jang, Seonhoon Kim, KiYoon Yoo, Chaerin Kong, Jangho Kim, Nojun Kwak
Self-Distilled Self-supervised Representation Learning. WACV (2023)
KiYoon Yoo, Wonhyuk Ahn, Jiho Jang, Nojun Kwak
Robust Multi-bit Natural Language Watermarking through Invariant Features. ACL (1) (2023)
Inseop Chung, KiYoon Yoo, Nojun Kwak
Open Domain Generalization with a Single Network by Regularization Exploiting Pre-trained Features. CoRR (2023)
Jangho Kim, KiYoon Yoo, Nojun Kwak
Model Compression via Position-Based Scaled Gradient. IEEE Access 10 (2022)
KiYoon Yoo, Nojun Kwak
Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling. CoRR (2022)
KiYoon Yoo, Jangho Kim, Jiho Jang, Nojun Kwak
Detection of Word Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation. CoRR (2022)
KiYoon Yoo, Jangho Kim, Jiho Jang, Nojun Kwak
Detection of Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation. ACL (Findings) (2022)
KiYoon Yoo, Nojun Kwak
Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling. EMNLP (2022)
Simyung Chang, KiYoon Yoo, Jiho Jang, Nojun Kwak
Self-Evolutionary Optimization for Pareto Front Learning. CoRR (2021)
Jiho Jang, Seonhoon Kim, KiYoon Yoo, Jangho Kim, Nojun Kwak
Self-Distilled Self-Supervised Representation Learning. CoRR (2021)
Jangho Kim, Jayeon Yoo, Yeji Song, KiYoon Yoo, Nojun Kwak
Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights. CoRR (2021)
Jangho Kim, KiYoon Yoo, Nojun Kwak
Position-based Scaled Gradient for Model Quantization and Pruning. NeurIPS (2020)
Seonguk Park, KiYoon Yoo, Nojun Kwak
On the Orthogonality of Knowledge Distillation with Other Techniques: From an Ensemble Perspective. CoRR (2020)
Sang-Ho Lee, KiYoon Yoo, Nojun Kwak
Asynchronous Edge Learning using Cloned Knowledge Distillation. CoRR (2020)
Jangho Kim, KiYoon Yoo, Nojun Kwak
Position-based Scaled Gradient for Model Quantization and Sparse Training. CoRR (2020)