3 citations · 6 across the 4 of their papers we have counts for
4 papers
Fairness-Driven Private Collaborative Machine Learning
Dana Pessach, Tamir Tassa, Erez Shmueli
The performance of machine learning algorithms can be considerably improved when trained over larger datasets. In many domains, such as medicine and finance, larger datasets can be…
A Privacy Preserving Collusion Secure DCOP Algorithm
Tamir Tassa, Tal Grinshpoun, Avishay Yanai
In recent years, several studies proposed privacy-preserving algorithms for solving Distributed Constraint Optimization Problems (DCOPs). All of those studies assumed that agents d…
Finding All Allowed Edges in a Bipartite Graph
Tamir Tassa
We consider the problem of finding all allowed edges in a bipartite graph , i.e., all edges that are included in some maximum matching. We show that given any maximum matc…
Secure Mining of Association Rules in Horizontally Distributed Databases
Tamir Tassa
We propose a protocol for secure mining of association rules in horizontally distributed databases. The current leading protocol is that of Kantarcioglu and Clifton (TKDE 2004). Ou…