Faster Secure Two-Party Computation in the Single-Execution Setting
By Xiao Shaun Wang, A. Malozemoff, Jonathan Katz. 2017
51 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Adrià Gascón
- Mariana Raykova
- Borja Balle
- David E. Evans
- Phillipp Schoppmann
- Samee Zahur
- Rosario Gennaro
- Steven Goldfeder
In Computational Theory and Mathematics
- Steven Goldfeder
- Mariana Raykova
- David E. Evans
- Adrià Gascón
- Samee Zahur
- Phillipp Schoppmann
- Borja Balle
- Jack Doerner
Citations in the corpus
- Privacy-Preserving Distributed Linear Regression on High-Dimensional Data (2017, methodology): “We implemented and evaluated the garbled circuit with malicious security for this verification phase, as an extension for our solving phase, using the EMP framework [67].”
- SoK: General Purpose Compilers for Secure Multi-Party Computation (2019, methodology): “The toolkit includes three maliciously secure protocols we did not study: a two-party computation that checks input validity [88], a two-party computation library [123], and a multi-party protocol [125].”
- Zero-Knowledge Contingent Payments Revisited: Attacks and Payments for Services (2017, methodology): “We implemented a two-party protocol for the computation of the associated function F ′ using the SCAPI library [26] following [48].”