Research
Google Scholar Citations (500+) : https://scholar.google.com/citations?user=zWB5QnwAAAAJ
In-Progress:
Analyzing Parameters for Identifying Trojan LLMs of Code - Aftab et al.
Towards Unlearning Trojans from LLMs of Code - Mahadi et al.
Using Large Language Models to Generate Effective Test Cases - Karanjai et al.
Under Submission: [Postdoc]
Occlusion-based Detection of Trojan-triggering Inputs in Language Models of Code - Aftab et al.
Understanding Confidence and Correctness of Language Models for Code - Spiess et al.
A Repository for Poisoned Language Models of Source Code - Aftab et al.
A Survey of Trojans in Neural Models of Source Code - Aftab et al.
Accepted Articles: [Ph.D.]
Study of Distractors in Neural Models of Code. Md Rafiqul Islam Rabin, Aftab Hussain, Sahil Suneja, and Mohammad Amin Alipour. The 1st IEEE/ACM International Workshop on Interpretability and Robustness in Neural Software Engineering (InteNSE'23). Melbourne, Australia, May 2023.
Memorization and Generalization in Neural Code Intelligence Models. Md Rafiqul Islam Rabin, Aftab Hussain, Vincent J. Hellendoorn, Mohammad Amin Alipour. Information and Software Technology (IST Journal), Volume 153, Article 107066, Elsevier. January 2023.
Code2Snapshot: Using Code Snapshots for Learning Representations of Source Code. Md Rafiqul Islam Rabin, Mohammad Amin Alipour. The 21st IEEE International Conference on Machine Learning and Applications (ICMLA'22). Virtual and Nassau, The Bahamas, December 2022.
FeatureExtractor: A tool for extracting key input features of code intelligence models. Md Rafiqul Islam Rabin, Mohammad Amin Alipour. Software Impacts, Volume 14, Article 100432, Elsevier. December 2022.
ProgramTransformer: A tool for generating semantically equivalent transformed programs. Md Rafiqul Islam Rabin, Mohammad Amin Alipour. Software Impacts, Volume 14, Article 100429, Elsevier. December 2022.
Syntax-Guided Program Reduction for Understanding Neural Code Intelligence Models. Md Rafiqul Islam Rabin, Aftab Hussain, Mohammad Amin Alipour. The 6th ACM SIGPLAN International Symposium on Machine Programming (MAPS'22). Virtual and San Diego, California, United States, June 2022.
Understanding Neural Code Intelligence Through Program Simplification. Md Rafiqul Islam Rabin, Vincent J. Hellendoorn, Mohammad Amin Alipour. The 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE'21). Athens, Greece, August 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. Information and Software Technology (IST Journal), Volume 135, Article 106552, Elsevier. July 2021.
Configuring Test Generators using Bug Reports: A Case Study of GCC Compiler and Csmith. Md Rafiqul Islam Rabin, Mohammad Amin Alipour. The 36th ACM/SIGAPP Symposium on Applied Computing, Software Verification and Testing Track (SAC-SVT'21). Virtual, Republic of Korea, March 2021.
Towards Demystifying Dimensions of Source Code Embeddings. Md Rafiqul Islam Rabin, Arjun Mukherjee, Omprakash Gnawali, Mohammad Amin Alipour. The 1st ACM SIGSOFT International Workshop on Representation Learning for Software Engineering and Program Languages (RL+SE&PL'20), Co-located with ESEC/FSE'20. Virtual, USA, November 2020.
Testing Neural Program Analyzers. Md Rafiqul Islam Rabin, Ke Wang, Mohammad Amin Alipour. 34th IEEE/ACM International Conference on Automated Software Engineering (ASE 2019). Late Breaking Results-Track. San Diego, CA, November 2019.
K-CONFIG: Using Failing Test Cases to Generate Test Cases in GCC Compilers. Md Rafiqul Islam Rabin and Mohammad Amin Alipour. The 34th IEEE/ACM International Conference on Automated Software Engineering (ASE 2019). Late Breaking Results-Track. San Diego, CA, November 2019.
Accepted Articles: [B.Sc.]
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. Applied Intelligence, Volume 48, Issue 7, Pages 1739-1756, Springer. September 2017.
Genetic Algorithm-based Fuzzy Decision Support System for the Diagnosis of Heart Disease. Animesh Kumar Paul, Pintu Chanda Shill, Md. Rafiqul Islam Rabin, Md. Aminul Haque Akhand. 5th International Conference on Informatics, Electronics and Vision (ICIEV 2016). Dhaka, Bangladesh, May 2016.
Fuzzy Membership Function Generation using DMS-PSO for the Diagnosis of Heart Disease. Animesh Kumar Paul, Pintu Chanda Shill, Md. Rafiqul Islam Rabin, Md. Aminul Haque Akhand. 18th International Conference on Computer and Information Technology (ICCIT 2015). Dhaka, Bangladesh, December 2015.