CodeAttack: Code-based Adversarial Attacks for Pre-Trained Programming Language Models. (arXiv:2206.00052v1 [cs.CL])

Pre-trained programming language (PL) models (such as CodeT5, CodeBERT,
GraphCodeBERT, etc.,) have the potential to automate software engineering tasks
involving code understanding and code generation. However, these models are not
robust to changes in the input and thus, are potentially susceptible to
adversarial attacks. We propose, CodeAttack, a simple yet effective black-box
attack model that uses code structure to generate imperceptible, effective, and
minimally perturbed adversarial code samples. We demonstrate the
vulnerabilities of the state-of-the-art PL models to code-specific adversarial …

adversarial attacks code language programming