Publications

Previously published publications by the main beneficiary and the EU partners regarding Privacy Enhancing Techniques & lattice-based cryptography.

• Kjamilji, A., Savaş, E., & Levi, A. (2021).
  Efficient secure building blocks with application to privacy preserving machine learning algorithms. IEEE Access, 9, 8324-8353.
• Mağara, Ş. S., Yıldırım, C., Yaman, F. E. R. H. A. T., Dilekoğlu, B. E. R. K. E., Tutaş, F. R., Öztürk, E., … & Savaş, E. R. K. A. Y. (2021).
  ML with HE: Privacy Preserving Machine Learning Inferences for Genome Studies. arXiv preprint arXiv:2110.11446.
• Gür, K. D., Polyakov, Y., Rohloff, K., Ryan, G. W., Sajjadpour, H., & Savaş, E. (2018).
  Practical applications of improved Gaussian sampling for trapdoor lattices. IEEE Transactions on Computers, 68(4), 570-584.
• Dai, W., Doröz, Y., Polyakov, Y., Rohloff, K., Sajjadpour, H., Savaş, E., & Sunar, B. (2017).
  Implementation and evaluation of a lattice-based key-policy ABE scheme. IEEE Transactions on Information Forensics and Security, 13(5), 1169-1184.
• Gür, K. D., Polyakov, Y., Rohloff, K., Ryan, G. W., & Savas, E. (2018, January).
  Implementation and evaluation of improved gaussian sampling for lattice trapdoors. In Proceedings of the 6th Workshop on Encrypted Computing & Applied Homomorphic Cryptography (pp. 61-71).
• Karabat, C., Kiraz, M. S., Erdogan, H., & Savas, E. (2015).
  THRIVE: threshold homomorphic encryption based secure and privacy preserving biometric verification system. EURASIP Journal on Advances in Signal Processing, 2015(1), 1-18.