Balazs Pejo - RankMe

18 papers B 1Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond performance-wise Contribution Evaluation in Federated Learning. CoRR Balazs Pejo
2026	J	`jnl`	Private and Robust Contribution Evaluation in Federated Learning. CoRR Delio Jaramillo-Velez, Gergely Biczók, Alexandre Graell i Amat, Johan Östman, Balazs Pejo
2025	J	`jnl`	On the Fragility of Contribution Score Computation in Federated Learning. CoRR Balazs Pejo, Marcell Frank, Krisztián Varga, Péter Veliczky
2024	J	`jnl`	Effective Anonymous Messaging: the Role of Altruism. CoRR Marcell Frank, Balazs Pejo, Gergely Biczók
2024	J	`jnl`	MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information. J. Chem. Inf. Model. 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
2023	J	`jnl`	DeVoS: Deniable Yet Verifiable Vote Updating. IACR Cryptol. ePrint Arch. Johannes Mueller, Balazs Pejo, Ivan Pryvalov
2023	J	`jnl`	SQLi Detection with ML: A data-source perspective. CoRR Balazs Pejo, Nikolett Kapui
2022	J	`jnl`	Collaborative Drug Discovery: Inference-level Data Protection Perspective. CoRR Balazs Pejo, Mina Remeli, Adam Arany, Mathieu Galtier, Gergely Ács
2022	J	`jnl`	Collaborative Drug Discovery: Inference-level Data Protection Perspective. Trans. Data Priv. Balazs Pejo, Mina Remeli, Adam Arany, Mathieu Galtier, Gergely Ács
2021	J	`jnl`	Property Inference Attacks on Convolutional Neural Networks: Influence and Implications of Target Model's Complexity. CoRR Mathias P. M. Parisot, Balazs Pejo, Dayana Spagnuelo
2021	J	`jnl`	Revenue Attribution on iOS 14 using Conversion Values in F2P Games. CoRR Frederick Ayala-Gómez, Ismo Horppu, Erlin Gulbenkoglu, Vesa Siivola, Balazs Pejo
2020	J	`jnl`	Corona Games: Masks, Social Distance and Mechanism Design. CoRR Balazs Pejo, Gergely Biczók
2019	J	`jnl`	Together or Alone: The Price of Privacy in Collaborative Learning. Proc. Priv. Enhancing Technol. Balazs Pejo, Qiang Tang, Gergely Biczók
2017	—	`conf`	To Cheat or Not to Cheat: A Game-Theoretic Analysis of Outsourced Computation Verification. SCC@AsiaCCS Balazs Pejo, Qiang Tang
2017	J	`jnl`	Together or Alone: The Price of Privacy in Joint Learning. CoRR Balazs Pejo, Qiang Tang, Afonso Arriaga
2016	J	`jnl`	Game-Theoretic Framework for Integrity Veri cation in Computation Outsourcing. IACR Cryptol. ePrint Arch. Qiang Tang, Balazs Pejo
2016	B	`conf`	Protect Both Integrity and Confidentiality in Outsourcing Collaborative Filtering Computations. CLOUD Qiang Tang, Balazs Pejo, Husen Wang
2016	J	`jnl`	Protect both Integrity and Confidentiality in Outsourcing Collaborative Filtering Computations. IACR Cryptol. ePrint Arch. Qiang Tang, Balazs Pejo, Husen Wang