CORE A/A* ranked venues marked in bold.

2023

Vasisht Duddu, Anudeep Das, Nora Khayata, Hossein Yalame, Thomas Schneider, and N. Asokan. Attesting distributional properties of training data for machine learning. arXiv:2308.09552, August 18, 2023. https://arxiv.org/abs/2308.09552. [ DOI ]

Lennart Braun, Moritz Huppert, Nora Khayata, Thomas Schneider, and Oleksandr Tkachenko. FUSE - flexible file format and intermediate representation for secure multi-party computation. In 18. ACM ASIA Conference on Computer and Communications Security (ASIACCS'23), pages 649–663, ACM, Melbourne, Australia, July 10-14, 2023. Full version: https://ia.cr/2023/563. Code: https://encrypto.de/code/FUSE. Acceptance rate 17.3%. CORE rank A. [ DOI | pdf | web ]

Lennart Braun, Moritz Huppert, Nora Khayata, Thomas Schneider, and Oleksandr Tkachenko. CONTRIBUTED TALK: FUSE - Flexible file format and intermediate representation for secure multi-party computation. Theory and Practice of Multi-Party Computation Workshop (TPMPC'23), June 8-9, 2023. [ web ]

2020

Nora Khayata. Statically inferring method consistency levels using pre- and postcondition analysis. Bachelor's thesis, TU Darmstadt, Germany, November 4, 2020.