| Sok: differential privacies D Desfontaines, B Pejó arXiv preprint arXiv:1906.01337, 2019 | 132 | 2019 |
| Corona Games: Masks, Social Distance and Mechanism Design B Pejó, G Biczók arXiv preprint arXiv:2006.06674, 2020 | 31* | 2020 |
| Property inference attacks on convolutional neural networks: Influence and implications of target model's complexity MPM Parisot, B Pejo, D Spagnuelo arXiv preprint arXiv:2104.13061, 2021 | 27 | 2021 |
| Together or alone: The price of privacy in collaborative learning B Pejo, Q Tang, G Biczok arXiv preprint arXiv:1712.00270, 2017 | 27* | 2017 |
| Melloddy: Cross-pharma federated learning at unprecedented scale unlocks benefits in qsar without compromising proprietary information W Heyndrickx, L Mervin, T Morawietz, N Sturm, L Friedrich, A Zalewski, ... Journal of chemical information and modeling, 2023 | 22 | 2023 |
| Industry-scale orchestrated federated learning for drug discovery M Oldenhof, G Ács, B Pejó, A Schuffenhauer, N Holway, N Sturm, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 15576 …, 2023 | 20 | 2023 |
| Quality inference in federated learning with secure aggregation B Pejó, G Biczók IEEE Transactions on Big Data, 2023 | 20* | 2023 |
| Guide to differential privacy modifications: a taxonomy of variants and extensions B Pejó, D Desfontaines Springer Nature, 2022 | 13* | 2022 |
| The effect of false positives: Why fuzzy message detection leads to fuzzy privacy guarantees? IA Seres, B Pejó, P Burcsi International Conference on Financial Cryptography and Data Security, 123-148, 2022 | 11 | 2022 |
| Protect both integrity and confidentiality in outsourcing collaborative filtering computations Q Tang, B Pejó, H Wang 2016 IEEE 9th International Conference on Cloud Computing (CLOUD), 941-946, 2016 | 11 | 2016 |
| Games in the time of COVID-19: Promoting mechanism design for pandemic response B Pejó, G Biczók ACM Transactions on Spatial Algorithms and Systems (TSAS) 8 (3), 1-23, 2022 | 6 | 2022 |
| Sok: differential privacies B Pejó, D Desfontaines Proceedings on Privacy Enhancing Technologies Symposium, 2020 | 4 | 2020 |
| Collaborative Drug Discovery: Inference-level Data Protection Perspective B Pejo, M Remeli, A Arany, M Galtier, G Acs arXiv preprint arXiv:2205.06506, 2022 | 3 | 2022 |
| To cheat or not to cheat: A game-theoretic analysis of outsourced computation verification B Pejó, Q Tang Proceedings of the Fifth ACM International Workshop on Security in Cloud …, 2017 | 3* | 2017 |
| Show me the Money: Measuring Marketing Performance in F2P Games using Apple’s App Tracking Transparency Framework F Ayala-Gómez, I Horppu, E Gülbenkoğlu, V Siivola, B Pejó | 2* | 2022 |
| Measuring contributions in privacy-preserving federated learning B Pejó, G Biczók, G Ács ERCIM NEWS 35, 2021 | 2 | 2021 |
| Privacy-Preserving Federated Singular Value Decomposition B Liu, B Pejó, Q Tang Applied Sciences 13 (13), 7373, 2023 | 1 | 2023 |
| DeVoS: Deniable Yet Verifiable Vote Updating J Müller, B Pejó, I Pryvalov Proceedings on Privacy Enhancing Technologies, 2024 | | 2024 |
| SQLi Detection with ML: A data-source perspective B Pejo, N Kapui arXiv preprint arXiv:2304.12115, 2023 | | 2023 |
Damien DesfontainesTumult LabsVerified email at tmlt.io
