KiYoon Yoo - RankMe

23 papers A* 4A 1Journal 14Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Nearly Zero-Cost Protection Against Mimicry by Personalized Diffusion Models. CVPR Namhyuk Ahn, KiYoon Yoo, Wonhyuk Ahn, Daesik Kim, Seung-Hun Nam
2024	—	`conf`	Advancing Beyond Identification: Multi-bit Watermark for Large Language Models. NAACL-HLT KiYoon Yoo, Wonhyuk Ahn, Nojun Kwak
2024	J	`jnl`	Imperceptible Protection against Style Imitation from Diffusion Models. CoRR Namhyuk Ahn, Wonhyuk Ahn, KiYoon Yoo, Daesik Kim, Seung-Hun Nam
2024	J	`jnl`	Nearly Zero-Cost Protection Against Mimicry by Personalized Diffusion Models. CoRR Namhyuk Ahn, KiYoon Yoo, Wonhyuk Ahn, Daesik Kim, Seung-Hun Nam
2024	—	`conf`	TEAM MIPAL at MEDIQA-M3G 2024: Large VQA Models for Dermatological Diagnosis. ClinicalNLP@NAACL Hyeonjin Kim, Min Kim, Jae Jang, KiYoon Yoo, Nojun Kwak
2023	J	`jnl`	Advancing Beyond Identification: Multi-bit Watermark for Language Models. CoRR KiYoon Yoo, Wonhyuk Ahn, Nojun Kwak
2023	A*	`conf`	Finding Efficient Pruned Network via Refined Gradients for Pruned Weights. ACM Multimedia Jangho Kim, Jayeon Yoo, Yeji Song, KiYoon Yoo, Nojun Kwak
2023	J	`jnl`	Open Domain Generalization with a Single Network by Regularization Exploiting Pre-trained Features. CoRR Inseop Chung, KiYoon Yoo, Nojun Kwak
2023	—	`conf`	Robust Multi-bit Natural Language Watermarking through Invariant Features. ACL (1) KiYoon Yoo, Wonhyuk Ahn, Jiho Jang, Nojun Kwak
2023	J	`jnl`	Robust Natural Language Watermarking through Invariant Features. CoRR KiYoon Yoo, Wonhyuk Ahn, Jiho Jang, Nojun Kwak
2023	A	`conf`	Self-Distilled Self-supervised Representation Learning. WACV Jiho Jang, Seonhoon Kim, KiYoon Yoo, Chaerin Kong, Jangho Kim, Nojun Kwak
2022	A*	`conf`	Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling. EMNLP KiYoon Yoo, Nojun Kwak
2022	J	`jnl`	Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling. CoRR KiYoon Yoo, Nojun Kwak
2022	—	`conf`	Detection of Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation. ACL (Findings) KiYoon Yoo, Jangho Kim, Jiho Jang, Nojun Kwak
2022	J	`jnl`	Detection of Word Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation. CoRR KiYoon Yoo, Jangho Kim, Jiho Jang, Nojun Kwak
2022	J	`jnl`	Model Compression via Position-Based Scaled Gradient. IEEE Access Jangho Kim, KiYoon Yoo, Nojun Kwak
2021	J	`jnl`	Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights. CoRR Jangho Kim, Jayeon Yoo, Yeji Song, KiYoon Yoo, Nojun Kwak
2021	J	`jnl`	Self-Distilled Self-Supervised Representation Learning. CoRR Jiho Jang, Seonhoon Kim, KiYoon Yoo, Jangho Kim, Nojun Kwak
2021	J	`jnl`	Self-Evolutionary Optimization for Pareto Front Learning. CoRR Simyung Chang, KiYoon Yoo, Jiho Jang, Nojun Kwak
2020	J	`jnl`	Asynchronous Edge Learning using Cloned Knowledge Distillation. CoRR Sang-Ho Lee, KiYoon Yoo, Nojun Kwak
2020	J	`jnl`	On the Orthogonality of Knowledge Distillation with Other Techniques: From an Ensemble Perspective. CoRR Seonguk Park, KiYoon Yoo, Nojun Kwak
2020	A*	`conf`	Position-based Scaled Gradient for Model Quantization and Pruning. NeurIPS Jangho Kim, KiYoon Yoo, Nojun Kwak
2020	J	`jnl`	Position-based Scaled Gradient for Model Quantization and Sparse Training. CoRR Jangho Kim, KiYoon Yoo, Nojun Kwak