mlsanityData to 14 Oct 2026

DeFi TrustBoost: Blockchain and AI for Trustworthy Decentralized Financial Decisions

arXiv 2512.00142 ↗First posted 28 Nov 2025cs.CR cs.AI q-fin.CPcited by 0

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Abstract (arXiv)

This research introduces the Decentralized Finance (DeFi) TrustBoost Framework, which combines blockchain technology and Explainable AI to address challenges faced by lenders underwriting small business loan applications from low-wealth households. The framework is designed with a strong emphasis on fulfilling four crucial requirements of blockchain and AI systems: confidentiality, compliance with data protection laws, resistance to adversarial attacks, and compliance with regulatory audits. It presents a technique for tamper-proof auditing of automated AI decisions and a strategy for on-chain (inside-blockchain) and off-chain data storage to facilitate collaboration within and across financial organizations.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 21 references that are in the map. First posted on arXiv 28 Nov 2025.

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References · 4

  1. 2017A Unified Approach to Interpreting Model Predictionscited by 6,555
  2. 2016"Why Should I Trust You?": Explaining the Predictions of Any Classifiercited by 5,070
  3. 2017Methods for Interpreting and Understanding Deep Neural Networkscited by 345
  4. 2020Deep Learning for Financial Applications : A Surveycited by 91

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