Arthur T Knackerbracket has found the following story:
MIT researchers have built a system that fools natural-language processing systems by swapping words with synonyms:
The software, developed by a team at MIT, looks for the words in a sentence that are most important to an NLP classifier and replaces them with a synonym that a human would find natural. For example, changing the sentence "The characters, cast in impossibly contrived situations, are totally estranged from reality" to "The characters, cast in impossibly engineered circumstances, are fully estranged from reality" makes no real difference to how we read it. But the tweaks made an AI interpret the sentences completely differently.
The results of this adversarial machine learning attack are impressive:
For example, Google's powerful BERT neural net was worse by a factor of five to seven at identifying whether reviews on Yelp were positive or negative.
The paper:
-- submitted from IRC
(Score: 3, Funny) by FatPhil on Wednesday April 29 2020, @09:33PM (1 child)
Great minds discuss ideas; average minds discuss events; small minds discuss people; the smallest discuss themselves
(Score: 3, Funny) by All Your Lawn Are Belong To Us on Wednesday April 29 2020, @10:17PM
Why did my computer system just say that the forecast was for precipitation on every day I tried to have my wedding on?
This sig for rent.