Security Issues, Dangers and Implications of Smart Information Systems

This report from SHERPA explores how flaws and biases might be introduced into machine learning models, how machine learning techniques might, in the future, be used for offensive or malicious purposes, how machine learning models can be attacked, and how those attacks can presently be mitigated. 



Approved
CIPM, CIPP/A, CIPP/C, CIPP/E, CIPP/G, CIPP/US, CIPT
Credits: 2

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