Publications associées à Fraude électorale

Robust Sparse Voting

Rachid Guerraoui, Youssef Allouah, Oscar Jean Olivier Villemaud, Le Nguyen Hoang

Many applications, such as content moderation and recommendation, require reviewing and scoring a large number of alternatives. Doing so robustly is however very challenging. Indeed, voters' inputs are inevitably sparse: most alternatives are only scored b ...

2024

Predicting party switching through machine learning and open data

Silvestro Micera, Emanuele Rossi

Parliament dynamics might seem erratic at times. Predicting future voting patterns could support policy design based on the simulation of voting scenarios. The availability of open data on legislative activities and machine learning tools might enable such ...

CELL PRESS2023

Empirical Evidence on the Effectiveness of Shareholder Democracy

Maxime Thibault B Couvert

This thesis is composed of two essays that study the effectiveness of shareholder democracy. In the first essay, I analyze the firm value implications of shareholder-initiated proposals. I show that managerial resistance precludes half of shareholder-init ...

EPFL2021

VOTEAGAIN: A scalable coercion-resistant voting system

Carmela González Troncoso, Wouter Lueks

The strongest threat model for voting systems considers coercion resistance: protection against coercers that force voters to modify their votes, or to abstain. Existing remote voting systems either do not provide this property; require expensive operation ...

USENIX ASSOC2020

Online Collaborative Prediction of Regional Vote Results

Patrick Thiran, Matthias Grossglauser, Mohammad Emtiyaz Khan, Vincent Etter

We consider online predictions of vote results, where regions across a country vote on an issue under discussion. Such online predictions before and during the day of the vote are useful to media agencies, polling institutes, and political parties, e.g., t ...

IEEE2016

Ergodic behaviour of "signed voter models"

Thomas Mountford, Grégory Maillard

We answer some questions raised by Gantert, Lowe and Steif (Ann. Inst. Henri Poincare Probab. Stat. 41 (2005) 767 780) concerning "signed" voter models on locally finite graphs. These are voter model like processes with the difference that the edges are co ...

Inst Mathematical Statistics2013

Optimization of Nanoelectronic Systems Reliability under Massive Defect Density Using Distributed R-Fold Modular Redundancy

Alexandre Schmid, Yusuf Leblebici, Milos Stanisavljevic

The theoretical analysis of R-fold modular redundancy with distributed voters - distributed R-fold modular redundancy in terms of reliability is presented for the first time to the best of author's knowledge. This technique is compared in terms of resistan ...

IEEE Computer Soc Press, Customer Service Center, Po Box 3014, 10662 Los Vaqueros Circle, Los Alamitos, Ca 90720-1264 Usa2009