PUBLICATIONS

Learn more about the achievements and milestonesof this project.


Ensuring a Secure Future: Comprehensive Insights into 6G IoT Security and Privacy – Whitepaper

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SPATIAL: Practical AI Trustworthiness with Human Oversight

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AI Sensors and Dashboards

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Towards Anomaly Detection using Explainable AI

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Quantitative Evaluation of xAI Methods for Multivariate Time Series – A Case Study for a CNN-Based MI Detection Model

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The SPATIAL Architecture: Design and Development Experiences from Gauging and Monitoring the AI Inference Capabilities of Modern Applications

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Exploring CNN and XAI-based Approaches for Accountable MI Detection in the Context of IoT-enabled Emergency Communication Systems

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Privacy–Preserving Online Content Moderation: A Federated Learning Use Case

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Towards Accountable and Resilient AI-Assisted Networks: Case Studies and Future Challenges

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A Survey on Privacy of Personal and Non-Personal Data in B5G/6G Networks

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SHERPA: Explainable Robust Algorithms for Privacy-Preserved Federated Learning in Future Networks to Defend Against Data Poisoning Attacks

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Opportunistic Multi-Drone Networks: Filling the Spatiotemporal Holes of Collaborative and Distributed Applications

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Rage Against the Artificial Intelligence? Understanding Contextuality of Algorithm Aversion and Appreciation

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One to Rule them All: A Study on Requirement Management Tools for the Development of Modern AI-based Software

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From Opacity to Clarity: Leveraging XAI for Robust Network Traffic Classification

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Gender Disparities in Child Custody Sentencing in Spain: a Data Driven Analysis

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Resilience of Blockchain Overlay Networks

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Graph Analysis of Blockchain P2P Overlays and their Security Implications

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Not only E.T. Phones Home: Analysing the Native User Tracking of Mobile Browsers

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No Forking Way: Detecting Cloning Attacks on Intel SGX Applications

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Approximate Edge AI for Energy Efficient Autonomous Driving Services

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A deep learning anomaly detection framework with explainability and robustness

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Tiny, Always-on and Fragile: Bias Propagation through Design Choices in On-device Machine Learning Workflows

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A longitudinal study of the top 1% toxic Twitter profiles

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Who Funds Misinformation? A Systematic Analysis of the Ad-related Profit Routines of Fake News Sites

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The Hitchhiker’s Guide to Facebook Web Tracking with Invisible Pixels and Click ID

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FLAME: Taming Backdoors in Federated Learning

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Accountable AI for Healthcare IoT Systems

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A Survey on Privacy for B5G/6G: New Privacy Challenges, and Research Directions

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Social-aware Federated Learning: Challenges and Opportunities in Collaborative Data Training

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Towards Trustworthy Edge Intelligence: Insights from Voice-activated Services

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Federated Learning based Anomaly Detection as an Enabler for Securing Network and Service Management Automation in Beyond 5G Networks

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Robust and Resilient Federated Learning for Securing Future Networks

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Trustworthy and Sustainable Edge AI: A Research Agenda

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The Many Faces of Edge Intelligence

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Dynamic-IMD (D-IMD): Introducing Activity Spaces to Deprivation Measurement in London, Birmingham and Liverpool

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A Large-scale Examination of “Socioeconomic” Fairness in Mobile Networks

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Privacy-Preserving AI for Future Networks

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Bias in Automated Speaker Recognition

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Subversion-Resilient Enhanced Privacy ID

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Characterising the Role of Pre-Processing Parameters in Audio-based Embedded Machine Learning

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Roadmap for Edge AI: A Dagstuhl Perspective

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Ten European projects join forces to protect the complex ICT infrastructures and create a stronger, more innovative and resilient European industry.

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Memorandum of Understanding (MoU) signed between SPATIAL & StandICT.eu 2023

Two European Initiatives Join Forces to Foster Standards for AI in Cybersecurity.

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SPATIAL PR

The consortium of SPATIAL Project (Security and Privacy Accountable Technology Innovations, Algorithms, and Machine Learning) announces the official start of this joint European initiative funded by the European Commission under the Horizon 2020 Research & Innovation programme.

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