| 2025 | CCS | THOR: Secure Transformer Inference with Homomorphic Encryption. | Jungho Moon, Dongwoo Yoo, Xiaoqian Jiang, Miran Kim |
| 2023 | CRYPTO | Accelerating HE Operations from Key Decomposition Technique. | Miran Kim, Dongwon Lee, Jinyeong Seo, Yongsoo Song |
| 2021 | ACNS | Efficient Homomorphic Conversion Between (Ring) LWE Ciphertexts. | Hao Chen, Wei Dai, Miran Kim, Yongsoo Song |
| 2020 | ASIACRYPT | Maliciously Secure Matrix Multiplication with Applications to Private Deep Learning. | Hao Chen, Miran Kim, Ilya P. Razenshteyn, Dragos Rotaru, Yongsoo Song, Sameer Wagh |
| 2019 | CCS | Efficient Multi-Key Homomorphic Encryption with Packed Ciphertexts with Application to Oblivious Neural Network Inference. | Hao Chen, Wei Dai, Miran Kim, Yongsoo Song |
| 2018 | CCS | Secure Outsourced Matrix Computation and Application to Neural Networks. | Xiaoqian Jiang, Miran Kim, Kristin E. Lauter, Yongsoo Song |
| 2018 | EuroCrypt | Bootstrapping for Approximate Homomorphic Encryption. | Jung Hee Cheon, Kyoohyung Han, Andrey Kim, Miran Kim, Yongsoo Song |
| 2017 | ASIACRYPT | Homomorphic Encryption for Arithmetic of Approximate Numbers. | Jung Hee Cheon, Andrey Kim, Miran Kim, Yong Soo Song |
| 2015 | FC | Search-and-Compute on Encrypted Data. | Jung Hee Cheon, Miran Kim, Myungsun Kim |
| 2015 | FC | Homomorphic Computation of Edit Distance. | Jung Hee Cheon, Miran Kim, Kristin E. Lauter |
| 2013 | UIST | ViziCal: accurate energy expenditure prediction for playing exergames. | Miran Kim, Jeff Angermann, George Bebis, Eelke Folmer |