VIFF, the Virtual Ideal Functionality Framework. Virtual Ideal Functionality Framework is a framework for creating efficient and secure multi-party computations (SMPC). Players, who do not trust each other, participate in a joint computation based on their private inputs. The computation is done using a cryptographic protocol which allows them to obtain a correct answer without revealing their inputs. Operations supported include addition, multiplication, and comparison, all with Shamir secret shared outputs. (Source:

References in zbMATH (referenced in 12 articles , 1 standard article )

Showing results 1 to 12 of 12.
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  1. Dani, Varsha; King, Valerie; Movahedi, Mahnush; Saia, Jared; Zamani, Mahdi: Secure multi-party computation in large networks (2017)
  2. Choudhury, Ashish; Orsini, Emmanuela; Patra, Arpita; Smart, Nigel P.: Linear overhead optimally-resilient robust MPC using preprocessing (2016)
  3. Dagdelen, Özgür; Mohassel, Payman; Venturi, Daniele: Rate-limited secure function evaluation (2016)
  4. Hemenway, Brett; Lu, Steve; Ostrovsky, Rafail; Welser, William IV: High-precision secure computation of satellite collision probabilities (2016)
  5. Patra, Arpita; Choudhury, Ashish; Rangan, C.Pandu: Efficient asynchronous verifiable secret sharing and multiparty computation (2015)
  6. Kamara, Seny; Mohassel, Payman; Raykova, Mariana; Sadeghian, Saeed: Scaling private set intersection to billion-element sets (2014) ioport
  7. Wallrabenstein, John Ross; Clifton, Chris: Privacy preserving T^atonnement (2014) ioport
  8. Choi, Seung Geol; Hwang, Kyung-Wook; Katz, Jonathan; Malkin, Tal; Rubenstein, Dan: Secure multi-party computation of Boolean circuits with applications to privacy in on-line marketplaces (2012)
  9. Loftus, Jake; Smart, Nigel P.: Secure outsourced computation (2011)
  10. Zhang, Bingsheng: Generic constant-round oblivious sorting algorithm for MPC (2011)
  11. Damgård, Ivan; Keller, Marcel: Secure multiparty AES. (Short paper) (2010)
  12. Damgård, Ivan; Geisler, Martin; Krøigaard, Mikkel; Nielsen, Jesper Buus: Asynchronous multiparty computation: theory and implementation (2009)