Privacy-Preserving Logistic Regression Using Homomorphic Encryption: An Adaptive Optimization Approach

Hye-Yeon Shim, Yeon-Ji Lee, Il-Gu Lee. Privacy-Preserving Logistic Regression Using Homomorphic Encryption: An Adaptive Optimization Approach. In Ki-Woong Park, Jungsoo Park, editors, Information Security Applications - 26th International Conference, WISA 2025, Jeju Island, South Korea, August 20-22, 2025, Revised Selected Papers. Volume 16434 of Lecture Notes in Computer Science, pages 279-290, Springer, 2025. [doi]

@inproceedings{ShimLL25,
  title = {Privacy-Preserving Logistic Regression Using Homomorphic Encryption: An Adaptive Optimization Approach},
  author = {Hye-Yeon Shim and Yeon-Ji Lee and Il-Gu Lee},
  year = {2025},
  doi = {10.1007/978-981-95-6857-4_21},
  url = {https://doi.org/10.1007/978-981-95-6857-4_21},
  researchr = {https://researchr.org/publication/ShimLL25},
  cites = {0},
  citedby = {0},
  pages = {279-290},
  booktitle = {Information Security Applications - 26th International Conference, WISA 2025, Jeju Island, South Korea, August 20-22, 2025, Revised Selected Papers},
  editor = {Ki-Woong Park and Jungsoo Park},
  volume = {16434},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-981-95-6857-4},
}