Revision as of 12:14, 1 September 2022 by Admin
| KiYoon Yoo (유기윤)|
- International Conferences
 KiYoon Yoo, Nojun Kwak, "Backdoor Attacks in Federated Learning by Poisoned Word Embeddings", Workshop on Federated Learning for Natural Language Processing (FL4NLP) at ACL 2022, May 2022.
 KiYoon Yoo, Jangho Kim, Jiho Jang, Nojun Kwak, "Detection of Word Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation", Findings of ACL 2022.
 Jangho Kim, KiYoon Yoo, Nojun Kwak, "Position-based Scaled Gradient for Model Quantization and Sparse Training", Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020), Dec. 2020, Online
- International Journals
 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, Seung Seok Han, "Deep Learning Model for Real-Time Prediction of Intradialytic Hypotension", Clinical Journal of the American Society of Nephrology, Accepted.
- Open Archive
 KiYoon Yoo and Nojun Kwak, "Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling", arXiv, April 2022. (Extended)
 SeongUk Park, Kiyoon Yoo and Nojun Kwak, "On the Orthogonality of Knowledge Distillation with Other Techniques: From an Ensemble Perspective", arXiv, Sep. 2020.
 Sang-ho Lee, Kiyoon Yoo, Nojun Kwak, "Asynchronous Edge Learning using Cloned Knowledge Distillation, arXiv, Oct. 2020.