ERD

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

Project: SPATIAL

Updated at: 01-11-2024

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Project acronym SPATIAL

A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services

Project: SPATIAL

Updated at: 01-11-2024

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Project acronym SPATIAL

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

Project: SPATIAL

Updated at: 01-11-2024

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Project acronym SPATIAL

A deep learning anomaly detection framework with explainability and robustness

Project: SPATIAL

Updated at: 01-11-2024

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Project acronym SPATIAL

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

Project: SPATIAL

Updated at: 01-11-2024

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No Forking Way: Detecting Cloning Attacks on Intel SGX Applications

Project: SPATIAL

Updated at: 01-11-2024

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Project acronym SPATIAL

AI Sensors and Dashboards

Project: SPATIAL

Updated at: 01-11-2024

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

Project: SPATIAL

Updated at: 01-11-2024

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Project acronym SPATIAL

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

Project: SPATIAL

Updated at: 01-11-2024

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Project acronym SPATIAL

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

Project: SPATIAL

Updated at: 01-11-2024

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Project acronym SPATIAL

Accountable AI for Healthcare IoT Systems

Project: SPATIAL

Updated at: 01-11-2024

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Project acronym SPATIAL

Gender Disparities in Child Custody Sentencing in Spain

Project: SPATIAL

Updated at: 01-11-2024

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Project acronym SPATIAL

The SPATIAL Architecture: Design and Development Experiences from Gauging and Monitoring the AI Inference Capabilities o...

Project: SPATIAL

Updated at: 01-11-2024

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Project acronym SPATIAL

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

Project: SPATIAL

Updated at: 01-11-2024

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Project acronym SPATIAL

SPATIAL Impact Master Plan

Project: SPATIAL

Updated at: 31-03-2024

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Project acronym SPATIAL

Roadmap for edge AI: a Dagstuhl perspective

Project: SPATIAL

Updated at: 31-03-2024

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Project acronym SPATIAL

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

Project: SPATIAL

Updated at: 31-03-2024

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Project acronym SPATIAL

Existing AI Algorithms and their Accountability and Resilience Features within the Context of Applications to IoT, 5G, a...

Project: SPATIAL

Updated at: 31-03-2024

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Project acronym SPATIAL

Dissemination & communication interim report

Project: SPATIAL

Updated at: 31-03-2024

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Project acronym SPATIAL

Subversion-Resilient Enhanced Privacy ID

Project: SPATIAL

Updated at: 31-03-2024

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Project acronym SPATIAL

Initial description of the use-cases, design, testbed, experimentation for all the pilots

Project: SPATIAL

Updated at: 31-03-2024

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Project acronym SPATIAL

Robust Accountability Metrics for AI Algorithms

Project: SPATIAL

Updated at: 31-03-2024

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Project acronym SPATIAL

Federated Learning based Anomaly Detection as an Enabler for Securing Network and Service Management Automation in Beyon...

Project: SPATIAL

Updated at: 31-03-2024

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Project acronym SPATIAL

Robust and Resilient Federated Learning for Securing Future Networks

Project: SPATIAL

Updated at: 31-03-2024

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Project acronym SPATIAL

Towards Trustworthy Edge Intelligence: Insights from Voice-Activated Services

Project: SPATIAL

Updated at: 31-03-2024

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Project acronym SPATIAL

Project Management Plan

Project: SPATIAL

Updated at: 31-03-2024

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Project acronym SPATIAL

Security Threats modelling for AI based System Architectures

Project: SPATIAL

Updated at: 31-03-2024

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Project acronym SPATIAL

Detection mechanisms to identify data biases and exploratory studies about different data quality trade-offs for AI-base...

Project: SPATIAL

Updated at: 31-03-2024

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Project acronym SPATIAL

Process to Integrate Accountability and Resilience Features into AI Algorithms

Project: SPATIAL

Updated at: 31-03-2024

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Project acronym SPATIAL

Automated diagnosis and mechanisms for tuning AI-based systems and Trusted Execution Environments for accountable and re...

Project: SPATIAL

Updated at: 31-03-2024

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Project acronym SPATIAL

Resources

Selected filters:

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

A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services

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

A deep learning anomaly detection framework with explainability and robustness

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

No Forking Way: Detecting Cloning Attacks on Intel SGX Applications

AI Sensors and Dashboards

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

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

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

Accountable AI for Healthcare IoT Systems

Gender Disparities in Child Custody Sentencing in Spain

The SPATIAL Architecture: Design and Development Experiences from Gauging and Monitoring the AI Inference Capabilities o...

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

SPATIAL Impact Master Plan

Roadmap for edge AI: a Dagstuhl perspective

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

Existing AI Algorithms and their Accountability and Resilience Features within the Context of Applications to IoT, 5G, a...

Dissemination & communication interim report

Subversion-Resilient Enhanced Privacy ID

Initial description of the use-cases, design, testbed, experimentation for all the pilots

Robust Accountability Metrics for AI Algorithms

Federated Learning based Anomaly Detection as an Enabler for Securing Network and Service Management Automation in Beyon...

Robust and Resilient Federated Learning for Securing Future Networks

Towards Trustworthy Edge Intelligence: Insights from Voice-Activated Services

Project Management Plan

Security Threats modelling for AI based System Architectures

Detection mechanisms to identify data biases and exploratory studies about different data quality trade-offs for AI-base...

Process to Integrate Accountability and Resilience Features into AI Algorithms

Automated diagnosis and mechanisms for tuning AI-based systems and Trusted Execution Environments for accountable and re...