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[Research] Universal Adversarial Triggers for Attacking and Analyzing NLP (EMNLP 2019)

Hi, I am one of the authors of this EMNLP 2019 paper.

We create Universal Adversarial Triggers:

Phrases that cause a specific model prediction when concatenated to 𝘢𝘯𝘺 input.

Triggers cause:

– GPT-2 to turn racist

– SQuAD models to predict “to kill american people” for 72% of “why” questions

– Text classifier accuracy 90%->1%.

Paper: https://arxiv.org/abs/1908.07125

Twitter: https://twitter.com/Eric_Wallace_/status/1168907518623571974

Blog: http://ericswallace.com/triggers

submitted by /u/Eric_WallaceUMD
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.