activity
20212025
most citedIndustry-Scale Orchestrated Federated Learning for Drug Discovery

10 citations · 13 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CR2025

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning

Marvin Xhemrishi, Alexandre Graell i Amat, Balázs Pejó

Federated learning with secure aggregation enables private and collaborative learning from decentralised data without leaking sensitive client information. However, secure aggregat…

cs.LG2024

FRIDA: Free-Rider Detection using Privacy Attacks

Pol G. Recasens, Ádám Horváth, Alberto Gutierrez-Torre +3

Federated learning is increasingly popular as it enables multiple parties with limited datasets and resources to train a machine learning model collaboratively. However, similar to…

cs.CR2023

SQLi Detection with ML: A data-source perspective

Balazs Pejo, Nikolett Kapui

Almost 50 years after the invention of SQL, injection attacks are still top-tier vulnerabilities of today's ICT systems. Consequently, SQLi detection is still an active area of res…

cs.LG2022★ 10 cited

Industry-Scale Orchestrated Federated Learning for Drug Discovery

Martijn Oldenhof, Gergely Ács, Balázs Pejó +44

To apply federated learning to drug discovery we developed a novel platform in the context of European Innovative Medicines Initiative (IMI) project MELLODDY (grant n°831472), whic…

cs.CR2022★ 2 cited

Collaborative Drug Discovery: Inference-level Data Protection Perspective

Balazs Pejo, Mina Remeli, Adam Arany +2

Pharmaceutical industry can better leverage its data assets to virtualize drug discovery through a collaborative machine learning platform. On the other hand, there are non-negligi…

cs.CR2021★ 1 cited

Property Inference Attacks on Convolutional Neural Networks: Influence and Implications of Target Model's Complexity

Mathias P. M. Parisot, Balazs Pejo, Dayana Spagnuelo

Machine learning models' goal is to make correct predictions for specific tasks by learning important properties and patterns from data. By doing so, there is a chance that the mod…

cs.CR2021

Revenue Attribution on iOS 14 using Conversion Values in F2P Games

Frederick Ayala-Gomez, Ismo Horppu, Erlin Gulbenkoglu +2

Mobile app developers use paid advertising campaigns to acquire new users. Marketing managers decide where to spend and how much to spend based on the campaigns' performance. Apple…