M. Sc. Muah Kim
Research associate
| Room | | None |
| Phone | | None |
| Email | | muah.kim@tu-dresden.de |
| Google Scholar | | Profile |
| Additional Information | | https://sites.google.com/view/muahkim |
Biography
Muah Kim received the B.S. degree in Electrical Engineering with minoring Physics and M.S. degree in Electrical Engineering from the Korea Advanced Institute of Science and Technology (KAIST), South Korea, in 2017 and 2019, respectively. She worked at the Korea Institute of Science and Technology Europe (KIST-Europe), Germany, as a research assistant, in 2019. Along with pursuing a Ph.D. degree, she served as a research associate for Technische Universität Berlin from 2019 to 2020 and for Universität Siegen from 2020 to 2022, and she is currently working as a research associate at Technische Universität Dresden since 2022.
Projects
- - Maschinelles Lernen für Sicherheit auf dem Physical Layer (10/2022 - 09/2024)
Theses
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Master Thesis
Coded Matrix Multiplication on a Group-Based Model
Distributed and Robust Machine Learning Lab (Korea Advanced Institute of Science and Technology), Daejeon, South Korea, February 2019 -
Bachelor Thesis
Developing Prototype of Portable 4-Channel fNIRS Brain-Imaging Device
Nanoscale Advanced Integrated Systems Lab (Korea Advanced Institute of Science and Technology), Daejeon, South Korea, December 2015
Publications
8 Entries
2024
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Robust Generation of Channel Distributions with Diffusion Models, 2024, IEEE International Conference on Communications (ICC)Research output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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Short-Length Code Designs for Integrated Sensing and Communications using Deep Learning, 2024, IEEE International Conference on Communications (ICC)Research output: Contribution to book/conference proceedings/anthology/report > Conference contribution
2023
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Learning End-to-End Channel Coding with Diffusion Models, 2023, The proceedings of the 26th International ITG Workshop on Smart Antennas and 13th Conference on Systems, Communications, and Coding.. Die Informationstechnische Gesellschaft (ITG) im Verband der Elektrotechnik Elektronik Informationstechnik e.V ITG, p. 208-213, 6 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
2022
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Privacy, Secrecy, and Storage with Nested Randomized Polar Subcode Constructions, 1 Jan 2022, In: IEEE Transactions on Communications. 70, 1, p. 514-525, 12 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Effects of Quantization on Federated Learning with Local Differential Privacy, 2022, GLOBECOM 2022 - 2022 IEEE Global Communications Conference. p. 921-926, 6 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
2021
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Federated Learning with Local Differential Privacy: Trade-Offs between Privacy, Utility, and Communication, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). p. 2650-2654, 5 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
2020
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Randomized Nested Polar Subcode Constructions for Privacy, Secrecy, and Storage, 24 Oct 2020, Proceedings of 2020 International Symposium on Information Theory and its Applications, ISITA 2020. Institute of Electrical and Electronics Engineers Inc., p. 475-479, 5 p., 9366150Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
2019
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Coded Matrix Multiplication on a Group-Based Model, 12 Jul 2019, 2019 IEEE International Symposium on Information Theory (ISIT). IEEE, p. 722-726, 5 p., 8849317Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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