Publications

  1. Pleșa, M.I., Gheorghe, M. and Ipate, F. (2025) Neural Key Agreement Protocol with Extended Security. Applied Sciences, 15(23), 12746.
  2. Pleșa, M.I., Poenaru, R., Irimia, S., David, S. and Farcasanu, A. (2025) Privacy-Preserving Inference for Public Neural Networks. In: International Conference on Artificial Intelligence and Soft Computing, pp. 120–131.
  3. David, S., Pleșa, M.I., Irimia, S. and Poenaru, R. (2025) Privacy-Preserving Service for Secure Storage of Passwords Based on Singularization. In: 25th International Conference on Control Systems and Computer Science (CSCS 2025).
  4. Macario-Rat, G. and Pleșa, M.I. (2024) Singularization: A New Approach to Designing Block Ciphers for Resource-Constrained Devices. In: International Conference on Attacks and Defenses for Internet-of-Things, pp. 155–167.
  5. Zhang, G., Verlan, S., Wu, T., Cabarle, F.G.C., Xue, J., Orellana-Martín, D., Dong, J. et al. (2024) Spiking neural P systems: theory, applications and implementations. Springer Nature.
  6. Pleșa, M.I., Gheorghe, M., Ipate, F. and Zhang, G. (2024) Applications of spiking neural P systems in cybersecurity. Journal of Membrane Computing, 6(4), pp. 310–317.
  7. Pleșa, M.I., Gheorghe, M., Ipate, F. and Zhang, G. (2024) A federated learning protocol for spiking neural membrane systems. International Journal of Neural Systems, 34(12), 2450062.
  8. Pleșa, M.I. and Olimid, R.F. (2024) Privacy-Preserving Multi-party Search via Homomorphic Encryption with Constant Multiplicative Depth. In: International Conference on Information Technology and Communications Security (SecITC 2024).
  9. Pleșa, M.I., Gheorghe, M. and Ipate, F. (2024) Private Inference on Layered Spiking Neural P Systems. In: International Work-Conference on the Interplay Between Natural and Artificial Computation (IWINAC 2024).
  10. Zentai, D., Pleșa, M.I. and Frot, R. (2023) A multiparty commutative hashing protocol based on the discrete logarithm problem. arXiv:2311.17498.
  11. Pleșa, M.I., Gheorghe, M. and Ipate, F. (2023) Privacy-preserving Linear Computations in Spiking Neural P Systems. arXiv:2309.13803.
  12. Pleșa, M.I., Gheorghe, M., Ipate, F. and Zhang, G. (2022) A key agreement protocol based on spiking neural P systems with anti-spikes. Journal of Membrane Computing, 4(4), pp. 341–351.
  13. Ion, B. and Pleșa, M.I. (2021) Anonymous Spam Detection Service Based on Somewhat Homomorphic Encryption. International Journal of Innovative Science and Research Technology, 6(4).
  14. Pleșa, M.I. and Pleșa, M.C. (2021) Self-repairing mechanical components using artificial intelligence. Scientific Bulletin ‘Mircea cel Batran’ Naval Academy, 24(1), pp. 17–28.
  15. Pleșa, M.I. and Pleșca, C. (2020) Privacy-Preserving Clustering: A New Approach Based on Invariant Order Encryption. Journal of Military Technology, 3(2).
  16. Pleșa, M.I. (2020) A quantum safe analysis of Helios voting system.
  17. Maria-Carmen, P. and Mihail-Iulian, P. (2019) Using quantum communications for maritime signal flags. Scientific Bulletin ‘Mircea cel Batran’ Naval Academy, 22(1).
  18. Pleșa, M.I. and Mihai, T. (2018) A New Quantum Encryption Scheme. Journal of Graduate Research, 4(1), p. 44.
  19. Pleșa, M.I. (2017) Hybrid scheme for secure communications using quantum and classical mechanisms. In: 9th International Conference on Electronics, Computers and Artificial Intelligence (ECAI 2017).
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