KiYoon Yoo

According to our database, KiYoon Yoo authored at least 18 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Imperceptible Protection against Style Imitation from Diffusion Models.

Namhyuk Ahn, Wonhyuk Ahn, KiYoon Yoo, Daesik Kim, Seung-Hun Nam

CoRR, 2024

2023

Open Domain Generalization with a Single Network by Regularization Exploiting Pre-trained Features.

Inseop Chung, KiYoon Yoo, Nojun Kwak

CoRR, 2023

Advancing Beyond Identification: Multi-bit Watermark for Language Models.

KiYoon Yoo, Wonhyuk Ahn, Nojun Kwak

CoRR, 2023

Robust Natural Language Watermarking through Invariant Features.

KiYoon Yoo, Wonhyuk Ahn, Jiho Jang, Nojun Kwak

CoRR, 2023

Self-Distilled Self-supervised Representation Learning.

Jiho Jang, Seonhoon Kim, KiYoon Yoo, Chaerin Kong, Jangho Kim, Nojun Kwak

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Finding Efficient Pruned Network via Refined Gradients for Pruned Weights.

Jangho Kim, Jayeon Yoo, Yeji Song, KiYoon Yoo, Nojun Kwak

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Robust Multi-bit Natural Language Watermarking through Invariant Features.

KiYoon Yoo, Wonhyuk Ahn, Jiho Jang, Nojun Kwak

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Detection of Word Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation.

KiYoon Yoo, Jangho Kim, Jiho Jang, Nojun Kwak

CoRR, 2022

Model Compression via Position-Based Scaled Gradient.

Jangho Kim, KiYoon Yoo, Nojun Kwak

IEEE Access, 2022

Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling.

KiYoon Yoo, Nojun Kwak

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Detection of Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation.

KiYoon Yoo, Jangho Kim, Jiho Jang, Nojun Kwak

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Self-Distilled Self-Supervised Representation Learning.

Jiho Jang, Seonhoon Kim, KiYoon Yoo, Jangho Kim, Nojun Kwak

CoRR, 2021

Self-Evolutionary Optimization for Pareto Front Learning.

Simyung Chang, KiYoon Yoo, Jiho Jang, Nojun Kwak

CoRR, 2021

Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights.

Jangho Kim, Jayeon Yoo, Yeji Song, KiYoon Yoo, Nojun Kwak

CoRR, 2021

2020

Asynchronous Edge Learning using Cloned Knowledge Distillation.

Sang-Ho Lee, KiYoon Yoo, Nojun Kwak

CoRR, 2020

On the Orthogonality of Knowledge Distillation with Other Techniques: From an Ensemble Perspective.

Seonguk Park, KiYoon Yoo, Nojun Kwak

CoRR, 2020

Position-based Scaled Gradient for Model Quantization and Sparse Training.

Jangho Kim, KiYoon Yoo, Nojun Kwak

CoRR, 2020

Position-based Scaled Gradient for Model Quantization and Pruning.

Jangho Kim, KiYoon Yoo, Nojun Kwak

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020