Author

Maryline Laurent

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Preprint Aug 2026

Trustless Accountable Data Sharing for Supply Chains: A Reference Architecture and MoreMedDiet Proof-of-Concept

Modern supply chains are increasingly dependent on the exchange of sensitive business data between heterogeneous stakeholders who do not trust each other. %under partial trust. Conventional integration approaches typically rely on centralized intermediaries or require extensive data disclosure, which hinders collaborat...

Michal Kit, Montassar Naghmouchi, Maryline Laurent et al. · 0 citations

Preprint Aug 2026

Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning

Collaborative machine learning among financial institutions must be both group-fair and robust against deliberate adversarial manipulation. Existing fairness-aware aggregation methods remain formally vulnerable to fairness poisoning: a malicious client maximizing group disparity while preserving accuracy evades accurac...

Devharsh Trivedi, N. Kaaniche, Nikos Triandopoulos et al. · 0 citations