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Trustworthy AI
D4.1 Sociotechnical Analysis Framework
by blanca@australo.org
D3.1 DETECTION MECHANISMS TO IDENTIFY DATA BIASES AND EXPLORATORY STUDIES ABOUT DIFFERENT DATA QUALITY TRADE-OFFS FOR AI-BASED SYSTEMS
by blanca@australo.org
D2.2 DEFINE PARAMETERS AND ELEMENTS TO CONSTRUCT ACCOUNTABILITY, RESILIENCE, AND PRIVACY METRICS
by blanca@australo.org
D2.1 Existing AI Algorithms and their Accountability and Resilience Features within the Context of Applications to IoT, 5G, and Cybersecurity
by blanca@australo.org
D1.2 SECURITY THREAT MODELING FOR AI BASED SYSTEM ARCHITECTURE
by blanca@australo.org
FLAME: Taming Backdoors in Federated Learning
by blanca@australo.org
A Survey on Privacy for B5G/6G: New Privacy Challenges, and Research Directions
by blanca@australo.org
Socially-aware Federated Learning: Challenges and Opportunities in Collaborative Data Training
by blanca@australo.org
Towards Trustworthy Edge Intelligence: Insights from Voice-activated Services
by blanca@australo.org
Federated Learning based Anomaly Detection as an Enabler for Securing Network and Service Management Automation in Beyond 5G Networks
by blanca@australo.org
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