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Dive into the research topics where Ho Bae is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Regularizing Hard Examples Improves Adversarial Robustness
Lee, H., Lee, S., Bae, H. & Yoon, S., 2025, In: Journal of Machine Learning Research. 26Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
DAFA: DISTANCE-AWARE FAIR ADVERSARIAL TRAINING
Lee, H., Lee, S., Jang, H., Park, J., Bae, H. & Yoon, S., 2024.Research output: Contribution to conference › Paper › peer-review
5 Scopus citations -
Evaluation of Malware Classification Models for Heterogeneous Data
Bae, H., Jan 2024, In: Sensors (Switzerland). 24, 1, 288.Research output: Contribution to journal › Article › peer-review
Open Access7 Scopus citations -
FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models
Lee, Y., Cho, Y., Han, W., Bae, H. & Paek, Y., 2024, Computer Security – ESORICS 2023 - 28th European Symposium on Research in Computer Security, 2023, Proceedings. Tsudik, G., Conti, M., Liang, K. & Smaragdakis, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 65-84 20 p. (Lecture Notes in Computer Science; vol. 14347 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
5 Scopus citations -
VFLIP: A Backdoor Defense for Vertical Federated Learning via Identification and Purification
Cho, Y., Han, W., Yu, M., Lee, Y., Bae, H. & Paek, Y., 2024, Computer Security – ESORICS 2024 - 29th European Symposium on Research in Computer Security, Proceedings. Garcia-Alfaro, J., Kozik, R., Choraś, M. & Katsikas, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 291-312 22 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14985 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
8 Scopus citations