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Take care, the original authors were being overly broad when they implied "all ML algorithms" can be fooled in this way. Not that I disagree with your conclusi
by j2kun 9y ago
Take care, the original authors were being overly broad when they implied "all ML algorithms" can be fooled in this way.
Not that I disagree with your conclusion. Just the hypothesis.
- yters 9y agoAll ML algorithms are either inconsistent or incomplete, which we know a priori. Insofar as ML tries to be complete, it will be inconsistent, as we see with adversarial examples.