activity
20112025
most citedFear Not, Vote Truthfully: Secure Multiparty Computation of Score Based Rules

15 citations · 27 across the 8 of their papers we have counts for

collaborators

8 papers

cs.GT2025

Truth, Justice, and Secrecy: Cake Cutting Under Privacy Constraints

Yaron Salman, Tamir Tassa, Omer Lev +1

Cake-cutting algorithms, which aim to fairly allocate a continuous resource based on individual agent preferences, have seen significant progress over the past two decades. Much of…

cs.CR2022

Secure Order Based Voting Using Distributed Tallying

Tamir Tassa, Lihi Dery, Arthur Zamarin

Electronic voting systems have significant advantages in comparison with physical voting systems. One of the main challenges in e-voting systems is to secure the voting process: na…

cs.LG2021

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…

cs.CR2019★ 3 cited

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…

cs.CR2019★ 15 cited

Fear Not, Vote Truthfully: Secure Multiparty Computation of Score Based Rules

Lihi Dery, Tamir Tassa, Avishay Yanai

We propose a secure voting protocol for score-based voting rules, where independent talliers perform the tallying procedure. The protocol outputs the winning candidate(s) while pre…

cs.DB2012★ 6 cited

Injecting Uncertainty in Graphs for Identity Obfuscation

Paolo Boldi, Francesco Bonchi, Aris Gionis +1

Data collected nowadays by social-networking applications create fascinating opportunities for building novel services, as well as expanding our understanding about social structur…

cs.DM2011

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…

cs.DB2011★ 3 cited

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…