Type
Education
Country
Luxembourg
LU
Documents
186
through any edge
Papers
186
authorship edges
Awards made
—
Named as funder
—
Identifiers
Papers
Documents in the 44B Library with Interdisciplinary Centre for Security, Reliability and Trust on the authorship, newest first.
2026-06-10 · 3 authors here
An Empirical Study on Predictive Maintenance for Component X in Heavy-Duty Scania Trucks
2026-06-10 · 6 authors here
Seeing is Deceiving: Systematic Vulnerability Analysis of LiDAR-Based Autonomous Driving to Mirror-Induced Perception Failures
2026-06-09 · 5 authors here
Federated Imputation under Heterogeneous Feature Spaces
2026-05-06 · 3 authors here
Geometric Entropy and Retrieval Phase Transitions in Continuous Dense Associative Memory
2026-04-03 · 4 authors here
Domain adaptation for multi-label image classification: A discriminator-free approach
2026-03-23 · 4 authors here
PSolid: A Web-Native Framework for Privacy-Preserving and Sovereign Data Verification
2026-03-19 · 4 authors here
An Explainable Triple-AI Architecture for Anomaly Detection in Public Country-By-Country Reporting Data
2026-03-12 · 4 authors here
A Human-Centred Tri-Region Shared Autonomy Framework for Adaptive and Safe Human–Robot Interaction
2026-02-24 · 2 authors here
Une Distance pour les Instances de Programmation Linéaire en Nombres Entiers Mixtes
2026-01-20 · 3 authors here
ecg2o: a seamless extension of g2o for equality-constrained factor graph optimization
2026-01-09 · 3 authors here
Towards Privacy-Preserving UAV Agents: A Hybrid Federated Learning - Belief Desire Intention Architecture for Ambient Disaster Response
2026-01-01 · 8 authors here
Scenarios of Social Explainable AI in Practice
2026-01-01 · 7 authors here
Cov2Pose: Leveraging Spatial Covariance for Direct Manifold-aware 6-DoF Object Pose Estimation
2026-01-01 · 3 authors here
Threat Landscape in Federated Learning
2026-01-01 · 3 authors here
Biasing Federated Learning Based on Adversarial Graph Attention Networks
2026-01-01 · 3 authors here
Data-Agnostic MP Techniques
2026-01-01 · 3 authors here
Introduction to Federated Learning
2026-01-01 · 3 authors here
Towards Fully Explainable Federated Learning
2026-01-01 · 3 authors here
Privacy-Aware Wireless Federated Learning
2026-01-01 · 3 authors here
Model Poisoning via Variational Graph Representations
2026-01-01 · 3 authors here
Exploring Visual Explanations for Attack Detection
2026-01-01 · 3 authors here
Sustainability in Federated Learning
2026-01-01 · 4 authors here
Replacing Training with Reasoning: Reinterpreting Classic ML Pipelines with LLMs
2026-01-01 · 3 authors here
Heterogeneous Graph-Based Partner Recommendation for EU Framework Programmes
2026-01-01 · 7 authors here
Safeguarding Trust, Privacy and Security in AI-Supported Healthcare
Funding
Read from the funding tables, never from the document count — that count includes authorship, so it ranks institutions, not funders.
Who funds this work
Funders named on the papers above. The record holds no recipient field, so this is reached through the documents themselves — and the two columns are two different claims, kept apart.
Under a named grant
funding_awards — the award carries a grant number
Listed as funder
doc_funder_links — named, with no grant number