2019-6-18 23:30 |
AI has come a long way in recent years — but as many who work with this technology can attest, it is still prone to surprising errors that wouldn’t be made by a human observer. While these errors can sometimes be the result of the required learning curve for artificial intelligence, it is becoming apparent that a far more serious problem is posing an increasing risk: adversarial data.
For the uninitiated, adversarial data describes a situation in which human users intentionally supply an algorithm with corrupted information. The corrupted data throws off the machine learning process, tricking the algorithm into…
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