Balázs Pejó

26 papers A* 2A 1C 2Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
FRIDA: Free-rider detection using privacy attacks.
J. Inf. Secur. Appl.
Pol G. Recasens, Ádám Horváth, Alberto Gutierrez-Torre, Jordi Torres, Josep Lluís Berral, Balázs Pejó
2025 J jnl
Bribers, Bribers on The Chain, Is Resisting All in Vain? Trustless Consensus Manipulation Through Bribing Contracts.
CoRR
Bence Soóki-Tóth, István András Seres, Kamilla Kara, Ábel Nagy, Balázs Pejó, Gergely Biczók
2025 J jnl
Bribers, Bribers on The Chain, Is Resisting All in Vain? Trustless Consensus Manipulation Through Bribing Contracts.
IACR Cryptol. ePrint Arch.
Bence Soóki-Tóth, István András Seres, Kamilla Kara, Ábel Nagy, Balázs Pejó, Gergely Biczók
2025 J jnl
Detect & Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning.
CoRR
Marvin Xhemrishi, Alexandre Graell i Amat, Balázs Pejó
2025 J jnl
Inferring Contributions in Privacy-Preserving Federated Learning.
ERCIM News
Balázs Pejó, Delio Jaramillo-Velez
2024 J jnl
DeVoS: Deniable Yet Verifiable Vote Updating.
Proc. Priv. Enhancing Technol.
Johannes Müller, Balázs Pejó, Ivan Pryvalov
2024 — conf
Effective Anonymous Messaging: The Role of Altruism.
GameSec
Marcell Frank, Balázs Pejó, Gergely Biczók
2024 J jnl
FRIDA: Free-Rider Detection using Privacy Attacks.
CoRR
Pol G. Recasens, Ádám Horváth, Alberto Gutierrez-Torre, Jordi Torres, Josep Lluis Berral, Balázs Pejó
2024 A conf
SECURED for Health: Scaling Up Privacy to Enable the Integration of the European Health Data Space.
DATE
Francesco Regazzoni, Gergely Ács, Albert Zoltan Aszalos, Christos Avgerinos, Nikolaos Bakalos, Josep Lluis Berral, Joppe W. Bos, Marco Brohet, Andrés G. Castillo Sanz, Gareth T. Davies, Stefanos Florescu, Pierre-Elisée Flory, Alberto Gutierrez-Torre, Evangelos Haleplidis, Alice Héliou, Sotirios Ioannidis, Alexander Islam El-Kady, Katarzyna Kapusta, Konstantina Karagianni, Pieter Kruizinga, Kyrian Maat, Zoltán Ádám Mann, Kalliopi Mastoraki, SeoJeong Moon, Maja Nisevic, Balázs Pejó, Kostas Papagiannopoulos, Vassilis Paliouras, Paolo Palmieri, Francesca Palumbo, Juan Carlos Pérez Baun, Péter Pollner, Eduard Porta-Pardo, Luca Pulina, Muhammad Ali Siddiqi, Daniela Spajic, Christos Strydis, Georgios Tasopoulos, Vincent Thouvenot, Christos Tselios, Apostolos P. Fournaris
2023 A* conf
Industry-Scale Orchestrated Federated Learning for Drug Discovery.
AAAI
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
2023 J jnl
Quality Inference in Federated Learning With Secure Aggregation.
IEEE Trans. Big Data
Balázs Pejó, Gergely Biczók
2023 C conf
SQLi Detection with ML: A Data-Source Perspective.
SECRYPT
Balázs Pejó, Nikolett Kapui
2022 J jnl
Games in the Time of COVID-19: Promoting Mechanism Design for Pandemic Response.
ACM Trans. Spatial Algorithms Syst.
Balázs Pejó, Gergely Biczók
2022 — book
Guide to Differential Privacy Modifications - A Taxonomy of Variants and Extensions
Balázs Pejó, Damien Desfontaines
2022 J jnl
Industry-Scale Orchestrated Federated Learning for Drug Discovery.
CoRR
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
2022 — conf
The Effect of False Positives: Why Fuzzy Message Detection Leads to Fuzzy Privacy Guarantees?
Financial Cryptography
István András Seres, Balázs Pejó, Péter Burcsi
2021 J jnl
Games in the Time of COVID-19: Promoting Mechanism Design for Pandemic Response.
CoRR
Balázs Pejó, Gergely Biczók
2021 J jnl
Measuring Contributions in Privacy-Preserving Federated Learning.
ERCIM News
Balázs Pejó, Gergely Biczók, Gergely Ács
2021 C conf
Property Inference Attacks on Convolutional Neural Networks: Influence and Implications of Target Model's Complexity.
SECRYPT
Mathias P. M. Parisot, Balázs Pejó, Dayana Spagnuelo
2021 J jnl
The Effect of False Positives: Why Fuzzy Message Detection Leads to Fuzzy Privacy Guarantees?
CoRR
István András Seres, Balázs Pejó, Péter Burcsi
2021 J jnl
The Effect of False Positives: Why Fuzzy Message Detection Leads to Fuzzy Privacy Guarantees?
IACR Cryptol. ePrint Arch.
István András Seres, Balázs Pejó, Péter Burcsi
2020 — conf
Corona Games: Masks, Social Distancing and Mechanism Design.
COVID@SIGSPATIAL
Balázs Pejó, Gergely Biczók
2020 J jnl
SoK: Differential privacies.
Proc. Priv. Enhancing Technol.
Damien Desfontaines, Balázs Pejó
2020 J jnl
The Good, The Bad, and The Ugly: Quality Inference in Federated Learning.
CoRR
Balázs Pejó
2019 J jnl
SoK: Differential Privacies.
CoRR
Damien Desfontaines, Balázs Pejó
2018 A* conf
The Price of Privacy in Collaborative Learning.
CCS
Balázs Pejó, Qiang Tang, Gergely Biczók