most citedAnalyzing Bias in Sensitive Personal Information Used to Train Financial Models

2 citations · 3 across the 3 of their papers we have counts for

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cs.CR2020

Multi-factor authentication for users of non-internet based applications of blockchain-based platforms

Andrew Kinai, Fred Otieno, Nelson Bore +1

Attacks targeting several millions of non-internet based application users are on the rise. These applications such as SMS and USSD typically do not benefit from existing multi-fac…

cs.CR2019★ 2 cited

Analyzing Bias in Sensitive Personal Information Used to Train Financial Models

Reginald Bryant, Celia Cintas, Isaac Wambugu +2

Bias in data can have unintended consequences that propagate to the design, development, and deployment of machine learning models. In the financial services sector, this can resul…