Privacy-Preserving Cross-Border Analytics: Inpher in FFIS Report

As part of the technology working group on ‘The Role of Privacy Preserving Data Analytics in the Detection and Prevention of Financial Crime,’ INPHER announces the publication of Future of Financial Intelligence Sharing (FFIS)’s white paper on the innovation of cryptographic privacy-preserving techniques in financial services.

Our portfolio company INPHER was a key contributor of the secure multi-party computation (MPC) and fully homomorphic encryption (FHE) case study on building a privacy-preserving machine learning model through decentralized cross-border computing.

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https://www.inpher.io/news/ffis-paper-privacy-preserving-data-analytics-financial-crime