1 citations · 2 across the 3 of their papers we have counts for
3 papers
Stabilising Explainability Fragility in Cybersecurity AI: The Impact and Mitigation of Multicollinearity in Public Benchmark Datasets
Ioannis J. Vourganas, Anna Lito Michala
This paper investigates a unexplored yet impactful vulnerability in AI explainability used in intrusion detection (IDS): multicollinearity-induced instability. Despite extensive re…
Modelling Technique for GDPR-compliance: Toward a Comprehensive Solution
Naila Azam, Anna Lito Michala, Shuja Ansari +1
Data-driven applications and services have been increasingly deployed in all aspects of life including healthcare and medical services in which a huge amount of personal data is co…
mini-ELSA: using Machine Learning to improve space efficiency in Edge Lightweight Searchable Attribute-based encryption for Industry 4.0
Jawhara Aljabri, Anna Lito Michala, Jeremy Singer +1
In previous work a novel Edge Lightweight Searchable Attribute-based encryption (ELSA) method was proposed to support Industry 4.0 and specifically Industrial Internet of Things ap…