most citedA Survey of Trojans in Neural Models of Source Code: Taxonomy and Techniques

4 citations · 8 across the 5 of their papers we have counts for

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cs.LG2023

A Study of Variable-Role-based Feature Enrichment in Neural Models of Code

Aftab Hussain, Md Rafiqul Islam Rabin, Bowen Xu +2

Although deep neural models substantially reduce the overhead of feature engineering, the features readily available in the inputs might significantly impact training cost and the…

cs.LG2023★ 3 cited

Study of Distractors in Neural Models of Code

Md Rafiqul Islam Rabin, Aftab Hussain, Sahil Suneja +1

Finding important features that contribute to the prediction of neural models is an active area of research in explainable AI. Neural models are opaque and finding such features sh…