Sep 3, 2015 · Abstract: Linear algebra operations on private distributed data are frequently required in several practical scenarios (e.g., ...

• Privacy Preserving Linear Algebra Operations: Protocols for secure and private two-party computation of vector inner products, matrix multiplications ...

Abstract—In this paper, we discuss the security of a distributed inner product (DIP) protocol [IEEE Trans. Inf. Forensics Security, 11.1, 59,. (2016)].

The authors in [18] proposed an approach based on linear algebra operations such as matrix multiplications to solve linear systems and compute the correlation ...

Download Citation | Comments on “Unconditionally Secure, Universally Composable Privacy Preserving Linear Algebra” | In this paper, we discuss the security ...

Efficient Unconditionally Secure Comparison and Privacy Preserving ... Unconditionally Secure, Universally Composable Privacy Preserving Linear Algebra. Linear ...

Abstract. We propose an efficient unconditionally secure protocol for privacy preserving comparison of i-bit integers when both integers are.

Linear algebra operations on private distributed data are frequently required in several practical scenarios (e.g., statistical analysis and privacy preserving ...

In this paper, we discuss the security of a distributed inner product (DIP) protocol [IEEE Trans. Inf. Forensics Security, 11.1, 59, (2016)].

This paper presents a non-interactive verifiable secret sharing scheme (VSS) tolerating a dishonest majority based on data pre-distributed by a trusted ...