Balázs Pejó

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

False Positives

Nash Equilibria

Mechanism Design

Top Venues

Proc. Priv. Enhancing Technol.

IACR Cryptol. ePrint Arch.

Publications

Johannes Müller, Balázs Pejó, Ivan Pryvalov
DeVoS: Deniable Yet Verifiable Vote Updating. Proc. Priv. Enhancing Technol. 2024 (1) (2024)
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
SECURED for Health: Scaling Up Privacy to Enable the Integration of the European Health Data Space. DATE (2024)
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
Industry-Scale Orchestrated Federated Learning for Drug Discovery. AAAI (2023)
Balázs Pejó, Gergely Biczók
Quality Inference in Federated Learning With Secure Aggregation. IEEE Trans. Big Data 9 (5) (2023)
Balázs Pejó, Nikolett Kapui
SQLi Detection with ML: A Data-Source Perspective. SECRYPT (2023)
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
Industry-Scale Orchestrated Federated Learning for Drug Discovery. CoRR (2022)
István András Seres, Balázs Pejó, Péter Burcsi
The Effect of False Positives: Why Fuzzy Message Detection Leads to Fuzzy Privacy Guarantees? Financial Cryptography (2022)
Balázs Pejó, Gergely Biczók
Games in the Time of COVID-19: Promoting Mechanism Design for Pandemic Response. ACM Trans. Spatial Algorithms Syst. 8 (3) (2022)
István András Seres, Balázs Pejó, Péter Burcsi
The Effect of False Positives: Why Fuzzy Message Detection Leads to Fuzzy Privacy Guarantees? CoRR (2021)
Mathias P. M. Parisot, Balázs Pejó, Dayana Spagnuelo
Property Inference Attacks on Convolutional Neural Networks: Influence and Implications of Target Model's Complexity. SECRYPT (2021)
Balázs Pejó, Gergely Biczók, Gergely Ács
Measuring Contributions in Privacy-Preserving Federated Learning. ERCIM News 2021 (126) (2021)
Balázs Pejó, Gergely Biczók
Games in the Time of COVID-19: Promoting Mechanism Design for Pandemic Response. CoRR (2021)
István András Seres, Balázs Pejó, Péter Burcsi
The Effect of False Positives: Why Fuzzy Message Detection Leads to Fuzzy Privacy Guarantees? IACR Cryptol. ePrint Arch. 2021 (2021)
Damien Desfontaines, Balázs Pejó
SoK: Differential privacies. Proc. Priv. Enhancing Technol. 2020 (2) (2020)
Balázs Pejó, Gergely Biczók
Corona Games: Masks, Social Distancing and Mechanism Design. COVID@SIGSPATIAL (2020)
Balázs Pejó
The Good, The Bad, and The Ugly: Quality Inference in Federated Learning. CoRR (2020)
Damien Desfontaines, Balázs Pejó
SoK: Differential Privacies. CoRR (2019)
Balázs Pejó, Qiang Tang, Gergely Biczók
The Price of Privacy in Collaborative Learning. CCS (2018)