Privacy-preserving federated learning using homomorphic encryption J Park, H Lim Applied Sciences 12 (2), 734, 2022 | 146 | 2022 |
Privacy-preserving reinforcement learning using homomorphic encryption in cloud computing infrastructures J Park, DS Kim, H Lim IEEE Access 8, 203564-203579, 2020 | 40 | 2020 |
Privacy-preserving federated learning using homomorphic encryption with different encryption keys J Park, NY Yu, H Lim 2022 13th International Conference on Information and Communication …, 2022 | 18 | 2022 |
Mobility support for vehicular cloud radio-access-networks with edge computing Y Kim, N An, J Park, H Lim 2018 IEEE 7th International Conference on Cloud Networking (CloudNet), 1-4, 2018 | 17 | 2018 |
Design and implementation of a full-duplex pipelined MAC protocol for multihop wireless networks W Choi, J Park, Y Kim, A Sabharwal, H Lim IEEE Access 5, 14930-14942, 2017 | 17 | 2017 |
Covert jamming using fake ACK frame injection on IEEE 802.11 wireless LANs W Kim, J Park, J Jo, H Lim IEEE Wireless Communications Letters 8 (5), 1502-1505, 2019 | 10 | 2019 |
Power allocation for multi-hop transmission using unsaturated full-duplex relay network model J Park, Y Kim, G Kim, H Lim IEEE Wireless Communications Letters 7 (6), 906-909, 2018 | 6 | 2018 |
Majority voting-based MAC protocol for exploiting link-layer diversity in wireless networks J Park, Y Kim, G Kim, H Lim Sensors 21 (8), 2706, 2021 | 4 | 2021 |
Frame-selective wireless attack using deep-learning-based length prediction G Kim, Y Kim, J Park, H Lim 2018 15th Annual IEEE International Conference on Sensing, Communication …, 2018 | 4 | 2018 |
Simple Link-layer Diversity Combining using Majority Voting in Dense WLANs J Park, Y Kim, G Kim, H Lim 2020 International Conference on Information and Communication Technology …, 2020 | 1 | 2020 |
Protecting Federate Learning from Malicious Attacks Using Consensus Technique W Kim, J Park, JH Cho, DD Kim, TJ Moore, FF Nelson, S Yoon, H Lim Available at SSRN 4927906, 0 | | |