Data Poisoning: An Emerging Threat for Machine Learning Adoption

Experts from IBM and Bank of China say they're on the lookout for this emerging threat, as machine learning gains in popularity.

Johannes Giez

Slowly, banks are looking to incorporate machine learning into their front-end operations. As machine learning models become more prevalent in finance, experts warn that banks need to be on the lookout for a lurking threat: data poisoning.

Machine learning models are made by humans, and it’s those humans that bank executives need to be monitoring, says Gary Yiu, head of IT audit at Bank of China (Hong Kong), as “malicious users can inject false training data with the aim of corrupting the

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