This is a helpful article if you want to understand some of the things that can go wrong with ML ie. false data being inserted into sets, and what negative outcomes are a result of these attacks. It also analyzes possible defense mechanisms against these attacks. I thought this might be helpful if an when we need to consider counter arguments in our research.
This is a helpful article if you want to understand some of the things that can go wrong with ML ie. false data being inserted into sets, and what negative outcomes are a result of these attacks. It also analyzes possible defense mechanisms against these attacks. I thought this might be helpful if an when we need to consider counter arguments in our research.