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ORCIDBalazs Pejo
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2020 – today
- 2024
[j7]Wouter Heyndrickx
, Lewis H. Mervin, Tobias Morawietz, Noé Sturm, Lukas Friedrich, Adam Zalewski, Anastasia Pentina, Lina Humbeck, Martijn Oldenhof, Ritsuya Niwayama, Peter Schmidtke, Nikolas Fechner, Jaak Simm, Adam Arany, Nicolas Drizard, Rama Jabal, Arina Afanasyeva, Regis Loeb, Shlok Verma, Simon Harnqvist, Matthew Holmes, Balazs Pejo, Maria Telenczuk, Nicholas Holway, Arne Dieckmann, Nicola Rieke, Friederike Zumsande, Djork-Arné Clevert, Michael Krug, Christopher N. Luscombe, Darren V. S. Green, Peter Ertl, Peter Antal, David Marcus, Nicolas Do Huu, Hideyoshi Fuji, Stephen D. Pickett, Gergely Ács, Eric Boniface, Bernd Beck, Yax Sun, Arnaud Gohier, Friedrich Rippmann, Ola Engkvist, Andreas H. Göller, Yves Moreau, Mathieu N. Galtier, Ansgar Schuffenhauer, Hugo Ceulemans:
MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information. J. Chem. Inf. Model. 64(7): 2331-2344 (2024)- [j6]Johannes Müller, Balázs Pejó, Ivan Pryvalov:
DeVoS: Deniable Yet Verifiable Vote Updating. Proc. Priv. Enhancing Technol. 2024(1): 357-378 (2024) - [c10]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: 1-4 - [c9]Marcell Frank, Balázs Pejó, Gergely Biczók:
Effective Anonymous Messaging: The Role of Altruism. GameSec 2024: 240-259 - [i18]Marcell Frank, Balazs Pejo, Gergely Biczók:
Effective Anonymous Messaging: the Role of Altruism. CoRR abs/2408.14980 (2024) - [i17]Pol G. Recasens, Ádám Horváth, Alberto Gutierrez-Torre, Jordi Torres, Josep Ll. Berral, Balázs Pejó:
FRIDA: Free-Rider Detection using Privacy Attacks. CoRR abs/2410.05020 (2024) - 2023
- [j5]Balázs Pejó, Gergely Biczók:
Quality Inference in Federated Learning With Secure Aggregation. IEEE Trans. Big Data 9(5): 1430-1437 (2023) - [c8]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: 15576-15584 - [c7]Balázs Pejó, Nikolett Kapui:
SQLi Detection with ML: A Data-Source Perspective. SECRYPT 2023: 642-648 - [i16]Balazs Pejo, Nikolett Kapui:
SQLi Detection with ML: A data-source perspective. CoRR abs/2304.12115 (2023) - [i15]Johannes Mueller, Balazs Pejo, Ivan Pryvalov:
DeVoS: Deniable Yet Verifiable Vote Updating. IACR Cryptol. ePrint Arch. 2023: 1616 (2023) - 2022
- [b1]Balázs Pejó, Damien Desfontaines:
Guide to Differential Privacy Modifications - A Taxonomy of Variants and Extensions. Springer Briefs in Computer Science, Springer 2022, ISBN 978-3-030-96397-2, pp. 1-89 - [j4]Balazs Pejo, Mina Remeli, Adam Arany, Mathieu Galtier, Gergely Ács:
Collaborative Drug Discovery: Inference-level Data Protection Perspective. Trans. Data Priv. 15(2): 87-107 (2022) - [j3]Balázs Pejó, Gergely Biczók:
Games in the Time of COVID-19: Promoting Mechanism Design for Pandemic Response. ACM Trans. Spatial Algorithms Syst. 8(3): 1-23 (2022) - [c6]István András Seres, Balázs Pejó, Péter Burcsi:
The Effect of False Positives: Why Fuzzy Message Detection Leads to Fuzzy Privacy Guarantees? Financial Cryptography 2022: 123-148 - [i14]Balazs Pejo, Mina Remeli, Adam Arany, Mathieu Galtier, Gergely Ács:
Collaborative Drug Discovery: Inference-level Data Protection Perspective. CoRR abs/2205.06506 (2022) - [i13]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 abs/2210.08871 (2022) - 2021
- [c5]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: 715-721 - [i12]Frederick Ayala-Gómez, Ismo Horppu, Erlin Gulbenkoglu, Vesa Siivola, Balazs Pejo:
Revenue Attribution on iOS 14 using Conversion Values in F2P Games. CoRR abs/2102.08458 (2021) - [i11]Mathias P. M. Parisot, Balazs Pejo, Dayana Spagnuelo:
Property Inference Attacks on Convolutional Neural Networks: Influence and Implications of Target Model's Complexity. CoRR abs/2104.13061 (2021) - [i10]Balázs Pejó, Gergely Biczók:
Games in the Time of COVID-19: Promoting Mechanism Design for Pandemic Response. CoRR abs/2106.12329 (2021) - [i9]István András Seres, Balázs Pejó, Péter Burcsi:
The Effect of False Positives: Why Fuzzy Message Detection Leads to Fuzzy Privacy Guarantees? CoRR abs/2109.06576 (2021) - [i8]Balázs Pejó, Gergely Biczók, Gergely Ács:
Measuring Contributions in Privacy-Preserving Federated Learning. ERCIM News 2021(126) (2021) - [i7]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: 1180 (2021) - 2020
- [j2]Damien Desfontaines, Balázs Pejó:
SoK: Differential privacies. Proc. Priv. Enhancing Technol. 2020(2): 288-313 (2020) - [c4]Balázs Pejó, Gergely Biczók:
Corona Games: Masks, Social Distancing and Mechanism Design. COVID@SIGSPATIAL 2020: 24-31 - [i6]Balazs Pejo, Gergely Biczók:
Corona Games: Masks, Social Distance and Mechanism Design. CoRR abs/2006.06674 (2020) - [i5]Balázs Pejó:
The Good, The Bad, and The Ugly: Quality Inference in Federated Learning. CoRR abs/2007.06236 (2020)
2010 – 2019
- 2019
- [j1]Balazs Pejo, Qiang Tang, Gergely Biczók:
Together or Alone: The Price of Privacy in Collaborative Learning. Proc. Priv. Enhancing Technol. 2019(2): 47-65 (2019) - [i4]Damien Desfontaines, Balázs Pejó:
SoK: Differential Privacies. CoRR abs/1906.01337 (2019) - 2018
- [c3]Balázs Pejó, Qiang Tang, Gergely Biczók:
The Price of Privacy in Collaborative Learning. CCS 2018: 2261-2263 - 2017
- [c2]Balazs Pejo, Qiang Tang:
To Cheat or Not to Cheat: A Game-Theoretic Analysis of Outsourced Computation Verification. SCC@AsiaCCS 2017: 3-10 - [i3]Balazs Pejo, Qiang Tang, Afonso Arriaga:
Together or Alone: The Price of Privacy in Joint Learning. CoRR abs/1712.00270 (2017) - 2016
- [c1]Qiang Tang, Balazs Pejo, Husen Wang:
Protect Both Integrity and Confidentiality in Outsourcing Collaborative Filtering Computations. CLOUD 2016: 941-946 - [i2]Qiang Tang, Balazs Pejo, Husen Wang:
Protect both Integrity and Confidentiality in Outsourcing Collaborative Filtering Computations. IACR Cryptol. ePrint Arch. 2016: 79 (2016) - [i1]Qiang Tang, Balazs Pejo:
Game-Theoretic Framework for Integrity Veri cation in Computation Outsourcing. IACR Cryptol. ePrint Arch. 2016: 639 (2016)
Coauthor Index
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last updated on 2024-11-13 23:52 CET by the dblp team
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