Md. Rafiqul Islam Rabin

According to our database, Md. Rafiqul Islam Rabin authored at least 29 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Mahdi Kazemi, Aftab Hussain, Md. Rafiqul Islam Rabin, Mohammad Amin Alipour, Sen Lin

CoRR, 2024

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

Rabimba Karanjai, Aftab Hussain, Md. Rafiqul Islam Rabin, Lei Xu, Weidong Shi, Mohammad Amin Alipour

CoRR, 2024

Trojans in Large Language Models of Code: A Critical Review through a Trigger-Based Taxonomy.

Aftab Hussain, Md. Rafiqul Islam Rabin, Toufique Ahmed, Bowen Xu, Premkumar T. Devanbu, Mohammad Amin Alipour

CoRR, 2024

On Trojan Signatures in Large Language Models of Code.

Aftab Hussain, Md. Rafiqul Islam Rabin, Mohammad Amin Alipour

CoRR, 2024

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

Aftab Hussain, Md. Rafiqul Islam Rabin, Navid Ayoobi, Mohammad Amin Alipour

CoRR, 2024

Calibration and Correctness of Language Models for Code.

Claudio Spiess, David Gros, Kunal Suresh Pai, Michael Pradel, Md. Rafiqul Islam Rabin, Amin Alipour, Susmit Jha, Prem Devanbu, Toufique Ahmed

CoRR, 2024

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

Aftab Hussain, Md. Rafiqul Islam Rabin, Mohammad Amin Alipour

Proceedings of the 1st ACM International Conference on AI-Powered Software, 2024

2023

Memorization and generalization in neural code intelligence models.

Md. Rafiqul Islam Rabin, Aftab Hussain, Mohammad Amin Alipour, Vincent J. Hellendoorn

Inf. Softw. Technol., 2023

Occlusion-based Detection of Trojan-triggering Inputs in Large Language Models of Code.

Aftab Hussain, Md. Rafiqul Islam Rabin, Toufique Ahmed, Mohammad Amin Alipour, Bowen Xu

CoRR, 2023

TrojanedCM: A Repository for Poisoned Neural Models of Source Code.

Aftab Hussain, Md. Rafiqul Islam Rabin, Mohammad Amin Alipour

CoRR, 2023

A Survey of Trojans in Neural Models of Source Code: Taxonomy and Techniques.

Aftab Hussain, Md. Rafiqul Islam Rabin, Toufique Ahmed, Bowen Xu, Prem Devanbu, Mohammad Amin Alipour

CoRR, 2023

Study of Distractors in Neural Models of Code.

Md. Rafiqul Islam Rabin, Aftab Hussain, Sahil Suneja, Mohammad Amin Alipour

Proceedings of the IEEE/ACM International Workshop on Interpretability and Robustness in Neural Software Engineering, 2023

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

Aftab Hussain, Md. Rafiqul Islam Rabin, Bowen Xu, David Lo, Mohammad Amin Alipour

Proceedings of the IEEE/ACM International Workshop on Interpretability and Robustness in Neural Software Engineering, 2023

2022

FeatureExtractor: A tool for extracting key input features of code intelligence models.

Md. Rafiqul Islam Rabin, Mohammad Amin Alipour

Softw. Impacts, December, 2022

ProgramTransformer: A tool for generating semantically equivalent transformed programs.

Md. Rafiqul Islam Rabin, Mohammad Amin Alipour

Softw. Impacts, December, 2022

Extracting Label-specific Key Input Features for Neural Code Intelligence Models.

Md. Rafiqul Islam Rabin

CoRR, 2022

Syntax-guided program reduction for understanding neural code intelligence models.

Md. Rafiqul Islam Rabin, Aftab Hussain, Mohammad Amin Alipour

Proceedings of the MAPS@PLDI 2022: 6th ACM SIGPLAN International Symposium on Machine Programming, 2022

Code2Snapshot: Using Code Snapshots for Learning Representations of Source Code.

Md. Rafiqul Islam Rabin, Mohammad Amin Alipour

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021

On the generalizability of Neural Program Models with respect to semantic-preserving program transformations.

Md. Rafiqul Islam Rabin, Nghi D. Q. Bui, Ke Wang, Yijun Yu, Lingxiao Jiang, Mohammad Amin Alipour

Inf. Softw. Technol., 2021

Encoding Program as Image: Evaluating Visual Representation of Source Code.

Md. Rafiqul Islam Rabin, Mohammad Amin Alipour

CoRR, 2021

Understanding neural code intelligence through program simplification.

Md. Rafiqul Islam Rabin, Vincent J. Hellendoorn, Mohammad Amin Alipour

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Configuring test generators using bug reports: a case study of GCC compiler and Csmith.

Md. Rafiqul Islam Rabin, Mohammad Amin Alipour

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

2020

Towards Demystifying Dimensions of Source Code Embeddings.

Md. Rafiqul Islam Rabin, Arjun Mukherjee, Omprakash Gnawali, Mohammad Amin Alipour

CoRR, 2020

On the Generalizability of Neural Program Analyzers with respect to Semantic-Preserving Program Transformations.

Md. Rafiqul Islam Rabin, Nghi D. Q. Bui, Yijun Yu, Lingxiao Jiang, Mohammad Amin Alipour

CoRR, 2020

COVID-19: Social Media Sentiment Analysis on Reopening.

Mohammed Emtiaz Ahmed, Md. Rafiqul Islam Rabin, Farah Naz Chowdhury

CoRR, 2020

Evaluation of Generalizability of Neural Program Analyzers under Semantic-Preserving Transformations.

Md. Rafiqul Islam Rabin, Mohammad Amin Alipour

CoRR, 2020

2019

Testing Neural Programs.

Md. Rafiqul Islam Rabin, Ke Wang, Mohammad Amin Alipour

CoRR, 2019

K-CONFIG: Using Failing Test Cases to Generate Test Cases in GCC Compilers.

Md. Rafiqul Islam Rabin, Mohammad Amin Alipour

CoRR, 2019

2018

Adaptive weighted fuzzy rule-based system for the risk level assessment of heart disease.

Animesh Kumar Paul, Pintu Chandra Shill, Md. Rafiqul Islam Rabin, Kazuyuki Murase

Appl. Intell., 2018