@misc{https://doi.org/10.4121/4e1739c5-f743-47cc-aa01-df52481e3fb3.v1,
  doi = {10.4121/4e1739c5-f743-47cc-aa01-df52481e3fb3.v1},
  url = {},
  author = {Vos, Jelle and Pentyala, Sikha and Golob, Steven and Maia, Ricardo José Menezes and Kelley, Dean and Erkin, Zekeriya and De Cock, Martine and Nascimento, Anderson},
  keywords = {privacy enhancing technologies, anomaly detection, federated learning, private membership queries, secure computation, cryptography, elliptic curves},
  title = {Code underlying: Privacy-Preserving Membership Queries for Federated Anomaly Detection},
  publisher = {4TU.ResearchData},
  year = {2025},
  copyright = {Apache-2.0},
}