7 citations · 11 across the 3 of their papers we have counts for
4 papers · 1 filter
Trojans in Large Language Models of Code: A Critical Review through a Trigger-Based Taxonomy
Aftab Hussain, Md Rafiqul Islam Rabin, Toufique Ahmed +3
Large language models (LLMs) have provided a lot of exciting new capabilities in software development. However, the opaque nature of these models makes them difficult to reason abo…
Learning to Find Usages of Library Functions in Optimized Binaries
Toufique Ahmed, Premkumar Devanbu, Anand Ashok Sawant
Much software, whether beneficent or malevolent, is distributed only as binaries, sans source code. Absent source code, understanding binaries' behavior can be quite challenging, e…
Code to Comment "Translation": Data, Metrics, Baselining & Evaluation
David Gros, Hariharan Sezhiyan, Prem Devanbu +1
The relationship of comments to code, and in particular, the task of generating useful comments given the code, has long been of interest. The earliest approaches have been based o…
Patching as Translation: the Data and the Metaphor
Yangruibo Ding, Baishakhi Ray, Premkumar Devanbu +1
Machine Learning models from other fields, like Computational Linguistics, have been transplanted to Software Engineering tasks, often quite successfully. Yet a transplanted model'…