2 papers
cs.ET2026
Trustless Accountable Data Sharing for Supply Chains: A Reference Architecture and MoreMedDiet Proof-of-Concept
Michal Kit, Montassar Naghmouchi, Maryline Laurent +6
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. Con…
cs.CR2026
Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning
Devharsh Trivedi, Nesrine Kaaniche, Nikos Triandopoulos +2
Collaborative machine learning among financial institutions must be both group-fair and robust against deliberate adversarial manipulation. Existing fairness-aware aggregation meth…