2 papers
cs.CR2025
A system capable of verifiably and privately screening global DNA synthesis
Carsten Baum, Jens Berlips, Walther Chen +28
Printing custom DNA sequences is essential to scientific and biomedical research, but the technology can be used to manufacture plagues as well as cures. Just as ink printers recog…
cs.CR2024
Bicoptor: Two-round Secure Three-party Non-linear Computation without Preprocessing for Privacy-preserving Machine Learning
Lijing Zhou, Ziyu Wang, Hongrui Cui +2
The overhead of non-linear functions dominates the performance of the secure multiparty computation (MPC) based privacy-preserving machine learning (PPML). This work introduces a f…