10 citations · 13 across the 7 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
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…
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…