  This paper describes MagicPai's system for SemEval 2021 Task 7, HaHackathon:
Detecting and Rating Humor and Offense. This task aims to detect whether the
text is humorous and how humorous it is. There are four subtasks in the
competition. In this paper, we mainly present our solution, a multi-task
learning model based on adversarial examples, for task 1a and 1b. More
specifically, we first vectorize the cleaned dataset and add the perturbation
to obtain more robust embedding representations. We then correct the loss via
the confidence level. Finally, we perform interactive joint learning on
multiple tasks to capture the relationship between whether the text is humorous
and how humorous it is. The final result shows the effectiveness of our system.
