Difference between revisions of "KiYoon Yoo"
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:<font size = 3>''International Conferences'' </font><br> | :<font size = 3>''International Conferences'' </font><br> | ||
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| − | '''KiYoon Yoo''', WonHyuk Ahn, Jiho Jang, Nojun Kwak. "Robust Natural Language Watermarking through Invariant Features", Annual Meeting of the Association for Computational Linguistics (ACL 2023), July 2023 (long, accepted) | + | '''KiYoon Yoo''', WonHyuk Ahn, Jiho Jang, Nojun Kwak. "Robust Natural Language Watermarking through Invariant Features", Annual Meeting of the Association for Computational Linguistics (ACL 2023), July 2023 (long, accepted). <br> |
'''KiYoon Yoo''', Nojun Kwak, "Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling", EMNLP 2022 (Long Paper, oral presentation). <br> | '''KiYoon Yoo''', Nojun Kwak, "Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling", EMNLP 2022 (Long Paper, oral presentation). <br> | ||
'''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. <br> | '''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. <br> | ||
Revision as of 13:17, 31 May 2023
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KiYoon Yoo (유기윤)
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Publications
- International Conferences
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KiYoon Yoo, WonHyuk Ahn, Jiho Jang, Nojun Kwak. "Robust Natural Language Watermarking through Invariant Features", Annual Meeting of the Association for Computational Linguistics (ACL 2023), July 2023 (long, accepted).
KiYoon Yoo, Nojun Kwak, "Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling", EMNLP 2022 (Long Paper, oral presentation).
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 (Long Paper).
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
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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
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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.
