The main challenge for Source-free Universal Domain Adaptation (SF-UniDA) is determining whether covariate-shifted samples belong to target-private unknown categories. Existing methods tackle this ...
This is the official code repository for the paper "Exploiting the Adversarial Example Vulnerability of Transfer Learning of Source Code"(TIFS 2024). State-of-the-art source code classification models ...
Abstract: The code summarization task aims to automatically generate natural language descriptions for code snippets. Recently, pre-trained code language models (CLMs) have demonstrated outstanding ...
Abstract: Several techniques have been proposed to (partially) automate code review. Early support consisted in recommending the most suited reviewer for a given change or in prioritizing the review ...
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