| Adaptive intrusion detection in the networking of large-scale lans with segmented federated learning Y Sun, H Esaki, H Ochiai IEEE Open Journal of the Communications Society 2, 102-112, 2020 | 42 | 2020 |
| Intrusion detection with segmented federated learning for large-scale multiple lans Y Sun, H Ochiai, H Esaki 2020 international joint conference on neural networks (IJCNN), 1-8, 2020 | 34 | 2020 |
| Decentralized deep learning for multi-access edge computing: A survey on communication efficiency and trustworthiness Y Sun, H Ochiai, H Esaki IEEE Transactions on Artificial Intelligence, 2021 | 30 | 2021 |
| Feature distribution matching for federated domain generalization Y Sun, N Chong, H Ochiai Asian Conference on Machine Learning, 942-957, 2023 | 15 | 2023 |
| Wireless ad hoc federated learning: A fully distributed cooperative machine learning H Ochiai, Y Sun, Q Jin, N Wongwiwatchai, H Esaki arXiv preprint arXiv:2205.11779, 2022 | 14 | 2022 |
| Detection and classification of network events in LAN using CNN Y Sun, H Esaki, H Ochiai 2019 4th International Conference on Information Technology (InCIT), 203-207, 2019 | 13 | 2019 |
| Information stealing in federated learning systems based on generative adversarial networks Y Sun, NST Chong, H Ochiai 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2021 | 12 | 2021 |
| Blockchain-based federated learning against end-point adversarial data corruption Y Sun, H Esaki, H Ochiai 2020 19th IEEE International Conference on Machine Learning and Applications …, 2020 | 10 | 2020 |
| Semi-targeted model poisoning attack on federated learning via backward error analysis Y Sun, H Ochiai, J Sakuma 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 9 | 2022 |
| Multi-source domain adaptation based on federated knowledge alignment Y Sun, N Chong, H Ochiai Authorea Preprints, 2023 | 7 | 2023 |
| Homogeneous learning: Self-attention decentralized deep learning Y Sun, H Ochiai IEEE Access 10, 7695-7703, 2022 | 7 | 2022 |
| Deep learning-based anomaly detection in LAN from raw network traffic measurement Y Sun, H Ochiai, H Esaki 2021 55th Annual Conference on Information Sciences and Systems (CISS), 1-5, 2021 | 7 | 2021 |
| Decentralized deep learning for mobile edge computing: A survey on communication efficiency and trustworthiness Y Sun, H Ochiai, H Esaki arXiv preprint, 2021 | 7 | 2021 |
| Instance-level Trojan Attacks on Visual Question Answering via Adversarial Learning in Neuron Activation Space Y Sun, H Ochiai, J Sakuma 2024 International Joint Conference on Neural Networks (IJCNN), 2023 | 3 | 2023 |
| Federated Phish Bowl: LSTM-based decentralized phishing email detection Y Sun, N Chong, H Ochiai 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 20-25, 2022 | 3 | 2022 |
| UniCon: Unidirectional Split Learning with Contrastive Loss for Visual Question Answering Y Sun, H Ochiai NeurIPS Workshop: Self-Supervised Learning - Theory and Practice, 2022 | 3 | 2022 |
| Federated reinforcement learning for the building facilities K Fujita, S Fujimura, Y Sun, H Esaki, H Ochiai 2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS …, 2022 | 3 | 2022 |
| Privacy-preserving phishing email detection based on federated learning and LSTM Y Sun, N Chong, H Ochiai arXiv preprint arXiv:2110.06025, 2021 | 3 | 2021 |
| Multi-Type Anomaly Detection Based on Raw Network Traffic Y Sun, H Ochiai, H Esaki 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC …, 2021 | 3 | 2021 |
| Network Flows-Based Malware Detection Using a Combined Approach of Crawling and Deep Learning Y Sun, NST Chong, H Ochiai ICC 2021-IEEE International Conference on Communications, 1-6, 2021 | 2 | 2021 |
Hideya OchiaiThe University of TokyoVerified email at g.ecc.u-tokyo.ac.jp
