Shield: Secure Allegation Escrow System with Stronger Guarantees

Author:

Koti Nishat1ORCID,Kukkala Varsha Bhat1ORCID,Patra Arpita1ORCID,Raj Gopal Bhavish1ORCID

Affiliation:

1. Indian Institute of Science, India

Publisher

ACM

Reference26 articles.

1. 2006. Me Too Movement. https://metoomvmt.org/ Accessed: 2021-11-18. 2006. Me Too Movement. https://metoomvmt.org/ Accessed: 2021-11-18.

2. Mark Abspoel , Anders Dalskov , Daniel Escudero , and Ariel Nof . 2021. An efficient passive-to-active compiler for honest-majority MPC over rings . In ACNS. Springer . Mark Abspoel, Anders Dalskov, Daniel Escudero, and Ariel Nof. 2021. An efficient passive-to-active compiler for honest-majority MPC over rings. In ACNS. Springer.

3. Venkat Arun Aniket Kate Deepak Garg Peter Druschel and Bobby Bhattacharjee. 2020. Finding Safety in Numbers with Secure Allegation Escrows. In NDSS. Venkat Arun Aniket Kate Deepak Garg Peter Druschel and Bobby Bhattacharjee. 2020. Finding Safety in Numbers with Secure Allegation Escrows. In NDSS.

4. Azer Bestavros , Andrei Lapets , and Mayank Varia . 2017. User-centric distributed solutions for privacy-preserving analytics. Commun. ACM ( 2017 ). Azer Bestavros, Andrei Lapets, and Mayank Varia. 2017. User-centric distributed solutions for privacy-preserving analytics. Commun. ACM (2017).

5. Dan Bogdanov Marko Jõemets Sander Siim and Meril Vaht. 2015. How the Estonian Tax and Customs Board Evaluated a Tax Fraud Detection System Based on Secure Multi-party Computation. In Financial Cryptography and Data Security Rainer Böhme and Tatsuaki Okamoto (Eds.). Dan Bogdanov Marko Jõemets Sander Siim and Meril Vaht. 2015. How the Estonian Tax and Customs Board Evaluated a Tax Fraud Detection System Based on Secure Multi-party Computation. In Financial Cryptography and Data Security Rainer Böhme and Tatsuaki Okamoto (Eds.).

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