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20162025
most citedOrchestrating Collaborative Cybersecurity: A Secure Framework for Distributed Privacy-Preserving Threat Intelligence Sharing

5 citations · 16 across the 9 of their papers we have counts for

collaborators
Showing 2021Show all

2 papers · 1 filter

cs.CR2021

SoK: Privacy-Preserving Collaborative Tree-based Model Learning

Sylvain Chatel, Apostolos Pyrgelis, Juan Ramon Troncoso-Pastoriza +1

Tree-based models are among the most efficient machine learning techniques for data mining nowadays due to their accuracy, interpretability, and simplicity. The recent orthogonal n…

cs.CR2021

Privacy-Preserving and Efficient Verification of the Outcome in Genome-Wide Association Studies

Anisa Halimi, Leonard Dervishi, Erman Ayday +5

Providing provenance in scientific workflows is essential for reproducibility and auditability purposes. Workflow systems model and record provenance describing the steps performed…