APA (7th ed.) Citation

Chen, K., Li, Y., Wang, M., Goos, G., Hartmanis, J., Bertino, E., . . . Stănică, P. (2025). An Efficient Toolkit for Computing Third-Party Private Set Intersection. Progress in Cryptology – INDOCRYPT 2024 : 25th International Conference on Cryptology in India, Chennai, India, December 18–21, 2024, Proceedings, Part I, 15495, 258-281. https://doi.org/10.1007/978-3-031-80308-6_12

Chicago Style (17th ed.) Citation

Chen, Kai, et al. "An Efficient Toolkit for Computing Third-Party Private Set Intersection." Progress in Cryptology – INDOCRYPT 2024 : 25th International Conference on Cryptology in India, Chennai, India, December 18–21, 2024, Proceedings, Part I 15495 (2025): 258-281. https://doi.org/10.1007/978-3-031-80308-6_12.

MLA (9th ed.) Citation

Chen, Kai, et al. "An Efficient Toolkit for Computing Third-Party Private Set Intersection." Progress in Cryptology – INDOCRYPT 2024 : 25th International Conference on Cryptology in India, Chennai, India, December 18–21, 2024, Proceedings, Part I, vol. 15495, 2025, pp. 258-281, https://doi.org/10.1007/978-3-031-80308-6_12.