Publications
- Banik, S., Mikhalev, V., Armknecht, F., Isobe, T., Meier, W., Bogdanov, A., Watanabe, Y. and Regazzoni, F. (2018). Towards low energy stream ciphers. IACR Transactions on Symmetric Cryptology, 2018, 1–19.
- Hamann, M. and Krause, M. (2018). On stream ciphers with provable beyond-the-birthday-bound security against time-memory-data tradeoff attacks. Cryptography and Communications, 10, 959–1012.
- Hamann, M., Krause, M., Meier, W. and Zhang, B. (2018). Design and analysis of small-state grain-like stream ciphers. Cryptography and Communications, 10, 803–834.
- Jäschke, A. and Armknecht, F. (2018). (Finite) field work: Choosing the best encoding of numbers for FHE computation. In , Cryptology and Network Security : 16th International Conference, CANS 2017, Hong Kong, China, November 30—December 2, 2017 : revised selected papers (S. 482–492). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
- Mandal, A., Armknecht, F. and Zenner, E. (2018). Privacy-preserving distributed economic dispatch protocol for Smart Grid. In , Secure IT systems : 23rd Nordic conference, NordSec 2018, Oslo, Norway, November 28–30, 2018 : proceedings (S. 3–18). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
- Walther, P., Köpsell, S., Armknecht, F., Tsudik, G. and Strufe, T. (2018). Chains and whips – an approach to lighweight MACs. In , Crypto day matters 28 : 28. Krypto-Tag, Kirchheim bei München, Germany, June 7–8, 2018 (S. 1). Crypto day matters, Gesellschaft für Informatik (GI): Bonn.
- Wiesberg, A. and Armknecht, F. (2018). Unsupervised machine learning on encrypted data.
Cryptology ePrint Archive, Report 2018/
411. Santa Barbara, CA: IACR, International Association for Cryptologic Research.