CORE A/A* ranked venues marked in bold.
Vasisht Duddu, Anudeep Das, Nora Khayata, Hossein Yalame, Thomas Schneider, and N. Asokan. Attesting distributional properties of training data for machine learning. In 29. European Symposium on Research in Computer Security (ESORICS'24), LNCS, Springer, Bydgoszcz, Poland, September 16-20, 2024. To appear. Full version: https://arxiv.org/abs/2308.09552. Code: https://github.com/ssg-research/distribution-attestation. CORE rank A. [ pdf | web ]
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. 9. Theory and Practice of Multi-Party Computation Workshop (TPMPC'23), June 8-9, 2023. [ web ]
Nora Khayata. Flexible file format and intermediate representation for secure multi-party computation. Master's thesis, TU Darmstadt, Germany, July 19, 2022.
Nora Khayata. Statically inferring method consistency levels using pre- and postcondition analysis. Bachelor's thesis, TU Darmstadt, Germany, November 4, 2020.