KiYoon Yoo

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Kiyoonyoo.jpg KiYoon Yoo (유기윤)

서울대학교 융합과학기술대학원 석박사통합과정 (2019.09 ~ )
서울대학교 식품생명공학/산업공학 (부전공) 졸업 (2019.08)

Tel: +82-31-888-9579


International Conferences
    [1] 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.
    [1] 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.
    [2] 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
    [1] 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
    [1] KiYoon Yoo and Nojun Kwak, "Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling", arXiv, April 2022. (Extended)
    [2] SeongUk Park, Kiyoon Yoo and Nojun Kwak, "On the Orthogonality of Knowledge Distillation with Other Techniques: From an Ensemble Perspective", arXiv, Sep. 2020.
    [3] Sang-ho Lee, Kiyoon Yoo, Nojun Kwak, "Asynchronous Edge Learning using Cloned Knowledge Distillation, arXiv, Oct. 2020.