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Publikováno v:
Proceedings of the ACM on Programming Languages. 4:1-30
Neural models of code have shown impressive results when performing tasks such as predicting method names and identifying certain kinds of bugs. We show that these models are vulnerable to adversarial examples, and introduce a novel approach for atta