Coded Matrix Multiplication on a Group-Based Model. - Muah Kim; Jy-yong Sohn; Jaekyun Moon (ISIT, 2019)

Randomized Nested Polar Subcode Constructions for Privacy, Secrecy, and Storage. - Onur Günlü; Peter Trifonov; Muah Kim; Rafael F. Schaefer; Vladimir Sidorenko (ISITA, 2020)

Federated Learning with Local Differential Privacy: Trade-offs between Privacy, Utility, and Communication. - Muah Kim; Onur Günlü; Rafael F. Schaefer (IACR Cryptol. ePrint Arch., 2021)

Effects of Quantization on Federated Learning with Local Differential Privacy. - Muah Kim; Onur Günlü; Rafael F. Schaefer (GLOBECOM, 2022)

Privacy, Secrecy, and Storage With Nested Randomized Polar Subcode Constructions. - Onur Günlü; Peter Trifonov; Muah Kim; Rafael F. Schaefer; Vladimir Sidorenko (IEEE Trans. Commun., 2022)

Learning End-to-End Channel Coding with Diffusion Models. - Muah Kim; Rick Fritschek; Rafael F. Schaefer (CoRR, 2023)

Robust Generation of Channel Distributions with Diffusion Models. - Muah Kim; Rick Fritschek; Rafael F. Schaefer (ICC, 2024)

Short-Length Code Designs for Integrated Sensing and Communications Using Deep Learning. - Muah Kim; Tayyebeh Jahani-Nezhad; Shuangyang Li; Rafael F. Schaefer; Giuseppe Caire (ICC, 2024)