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20182025
most citedSyntax-Guided Program Reduction for Understanding Neural Code Intelligence Models

12 citations · 32 across the 17 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.SE2024

Unlearning Trojans in Large Language Models: A Comparison Between Natural Language and Source Code

Mahdi Kazemi, Aftab Hussain, Md Rafiqul Islam Rabin +2

This work investigates the application of Machine Unlearning (MU) for mitigating the impact of trojans embedded in conventional large language models of natural language (Text-LLMs…

cs.SE2024

Harnessing the Power of LLMs: Automating Unit Test Generation for High-Performance Computing

Rabimba Karanjai, Aftab Hussain, Md Rafiqul Islam Rabin +3

Unit testing is crucial in software engineering for ensuring quality. However, it's not widely used in parallel and high-performance computing software, particularly scientific app…

cs.SE2024★ 2 cited

Measuring Impacts of Poisoning on Model Parameters and Embeddings for Large Language Models of Code

Aftab Hussain, Md Rafiqul Islam Rabin, Mohammad Amin Alipour

Large language models (LLMs) have revolutionized software development practices, yet concerns about their safety have arisen, particularly regarding hidden backdoors, aka trojans.…

cs.SE2024★ 2 cited

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…

cs.CR2024★ 1 cited

On Trojan Signatures in Large Language Models of Code

Aftab Hussain, Md Rafiqul Islam Rabin, Mohammad Amin Alipour

Trojan signatures, as described by Fields et al. (2021), are noticeable differences in the distribution of the trojaned class parameters (weights) and the non-trojaned class parame…

cs.SE2024★ 2 cited

Measuring Impacts of Poisoning on Model Parameters and Neuron Activations: A Case Study of Poisoning CodeBERT

Aftab Hussain, Md Rafiqul Islam Rabin, Navid Ayoobi +1

Large language models (LLMs) have revolutionized software development practices, yet concerns about their safety have arisen, particularly regarding hidden backdoors, aka trojans.…