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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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