Balazs Pejo

According to our database, Balazs Pejo authored at least 22 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

DeVoS: Deniable Yet Verifiable Vote Updating.

Johannes Müller, Balázs Pejó, Ivan Pryvalov

Proc. Priv. Enhancing Technol., January, 2024

2023

Quality Inference in Federated Learning With Secure Aggregation.

Balázs Pejó, Gergely Biczók

IEEE Trans. Big Data, October, 2023

SQLi Detection with ML: A Data-Source Perspective.

Balázs Pejó, Nikolett Kapui

Proceedings of the 20th International Conference on Security and Cryptography, 2023

Industry-Scale Orchestrated Federated Learning for Drug Discovery.

Martijn Oldenhof, Gergely Ács, Balázs Pejó, Ansgar Schuffenhauer, Nicholas Holway, Noé Sturm, Arne Dieckmann, Oliver Fortmeier, Eric Boniface, Clément Mayer, Arnaud Gohier, Peter Schmidtke, Ritsuya Niwayama, Dieter Kopecky, Lewis H. Mervin, Prakash Chandra Rathi, Lukas Friedrich, András Formanek, Peter Antal, Jordon Rahaman, Adam Zalewski, Wouter Heyndrickx, Ezron Oluoch, Manuel Stößel, Michal Vanco, David Endico, Fabien Gelus, Thaïs de Boisfossé, Adrien Darbier, Ashley Nicollet, Matthieu Blottière, Maria Telenczuk, Van Tien Nguyen, Thibaud Martinez, Camille Boillet, Kelvin Moutet, Alexandre Picosson, Aurélien Gasser, Inal Djafar, Antoine Simon, Adam Arany, Jaak Simm, Yves Moreau, Ola Engkvist, Hugo Ceulemans, Camille Marini, Mathieu Galtier

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Guide to Differential Privacy Modifications - A Taxonomy of Variants and Extensions

Balázs Pejó, Damien Desfontaines

Springer Briefs in Computer Science, Springer, ISBN: 978-3-030-96397-2, 2022

Games in the Time of COVID-19: Promoting Mechanism Design for Pandemic Response.

Balázs Pejó, Gergely Biczók

ACM Trans. Spatial Algorithms Syst., 2022

Collaborative Drug Discovery: Inference-level Data Protection Perspective.

Balazs Pejo, Mina Remeli, Adam Arany, Mathieu Galtier, Gergely Ács

Trans. Data Priv., 2022

Industry-Scale Orchestrated Federated Learning for Drug Discovery.

Martijn Oldenhof, Gergely Ács, Balázs Pejó, Ansgar Schuffenhauer, Nicholas Holway, Noé Sturm, Arne Dieckmann, Oliver Fortmeier, Eric Boniface, Clément Mayer, Arnaud Gohier, Peter Schmidtke, Ritsuya Niwayama, Dieter Kopecky, Lewis H. Mervin, Prakash Chandra Rathi, Lukas Friedrich, András Formanek, Peter Antal, Jordon Rahaman, Adam Zalewski, Ezron Oluoch, Manuel Stößel, Michal Vanco, David Endico, Fabien Gelus, Thaïs de Boisfossé, Adrien Darbier, Ashley Nicollet, Matthieu Blottière, Maria Telenczuk, Van Tien Nguyen, Thibaud Martinez, Camille Boillet, Kelvin Moutet, Alexandre Picosson, Aurélien Gasser, Inal Djafar, Adam Arany, Jaak Simm, Yves Moreau, Ola Engkvist, Hugo Ceulemans, Camille Marini, Mathieu Galtier

CoRR, 2022

2021

The Effect of False Positives: Why Fuzzy Message Detection Leads to Fuzzy Privacy Guarantees?

István András Seres, Balázs Pejó, Péter Burcsi

IACR Cryptol. ePrint Arch., 2021

Measuring Contributions in Privacy-Preserving Federated Learning.

Balázs Pejó, Gergely Biczók, Gergely Ács

ERCIM News, 2021

Revenue Attribution on iOS 14 using Conversion Values in F2P Games.

Frederick Ayala-Gómez, Ismo Horppu, Erlin Gulbenkoglu, Vesa Siivola, Balazs Pejo

CoRR, 2021

Property Inference Attacks on Convolutional Neural Networks: Influence and Implications of Target Model's Complexity.

Mathias P. M. Parisot, Balázs Pejó, Dayana Spagnuelo

Proceedings of the 18th International Conference on Security and Cryptography, 2021

2020

SoK: Differential privacies.

Damien Desfontaines, Balázs Pejó

Proc. Priv. Enhancing Technol., 2020

The Good, The Bad, and The Ugly: Quality Inference in Federated Learning.

Balázs Pejó

CoRR, 2020

Corona Games: Masks, Social Distance and Mechanism Design.

Balazs Pejo, Gergely Biczók

CoRR, 2020

Corona Games: Masks, Social Distancing and Mechanism Design.

Balázs Pejó, Gergely Biczók

Proceedings of the COVID-19: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19, 2020

2019

Together or Alone: The Price of Privacy in Collaborative Learning.

Balazs Pejo, Qiang Tang, Gergely Biczók

Proc. Priv. Enhancing Technol., 2019

2018

The Price of Privacy in Collaborative Learning.

Balázs Pejó, Qiang Tang, Gergely Biczók

Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

2017

Together or Alone: The Price of Privacy in Joint Learning.

Balazs Pejo, Qiang Tang, Afonso Arriaga

CoRR, 2017

To Cheat or Not to Cheat: A Game-Theoretic Analysis of Outsourced Computation Verification.

Balazs Pejo, Qiang Tang

Proceedings of the Fifth ACM International Workshop on Security in Cloud Computing, 2017

2016

Protect both Integrity and Confidentiality in Outsourcing Collaborative Filtering Computations.

Qiang Tang, Balazs Pejo, Husen Wang

IACR Cryptol. ePrint Arch., 2016

Game-Theoretic Framework for Integrity Veri cation in Computation Outsourcing.

Qiang Tang, Balazs Pejo

IACR Cryptol. ePrint Arch., 2016