In many crucial real-world applications, parties must jointly perform some secure multi-party computation (MPC) while keeping their inputs hidden from other parties. Private Set Intersection (PSI), the specific area of Multi-Party Computation, let learn intersection private data sets without sharing secret with others. For instance, a smartphone user downloads messaging application, naturally, ...

‎for a set of non-negative integers~$l$‎, ‎the $l$-intersection number of a graph is the smallest number~$l$ for which there is an assignment of subsets $a_v subseteq {1,dots‎, ‎l}$ to vertices $v$‎, ‎such that every two vertices $u,v$ are adjacent if and only if $|a_u cap a_v|in l$‎. ‎the bipartite $l$-intersection number is defined similarly when the conditions are considered only for the ver...

Private set intersection (PSI) is a valuable technique with various practical applications, including secure matching of communication packets in the Internet Things. However, most currently available two-party PSI protocols are based on oblivious transfer (OT) protocol, which computationally expensive and results significant overhead. In this paper, we propose new coding method to design proto...

We study the problem of private set intersection (PSI). In this problem, there are two entities $E_{i}$ , for notation="LaTeX">$i=1, 2$ each storing a notation="LaTeX">$\mathcal {P}_{i}$ whose elements picked from finite notation="LaT...

In the field of privacy preserving protocols, Private Set Intersection (PSI) plays an important role. In most cases, PSI allows two parties to securely determine intersection their private input sets, and no other information. this paper, employing a Bloom filter, we propose Multiparty Cardinality (MPSI-CA), where number participants in is not limited two. The secur...

Elliptic Curve Cryptography (ECC), one of the most widely used asymmetric cryptographic algorithms, has been deployed in Transport Layer Security (TLS) protocol, blockchain, secure multiparty computation, etc. As ECC curves, Curve25519 is employed by some protocols, such as TLS 1.3 and Diffie-Hellman Private Set Intersection (DH-PSI) protocol. High performance implementation required, especiall...

Currently, the federated graph neural network (GNN) has attracted a lot of attention due to its wide applications in reality without violating privacy regulations. Among all privacy-preserving technologies, differential (DP) is most promising one effectiveness and light computational overhead. However, DP-based GNN not been well investigated, especially sub-graph-level setting, such as scenario...