Google Scholar: https://scholar.google.com/citations?user=zWB5QnwAAAAJ
AI Safety Assessments for Code Generation (AI Agent, Sandbox Evaluation, Math Problem) - Rabin et al.
SandboxEval: Towards Securing Test Environment for Untrusted Code - Rabin et al.
Capturing the Effects of Quantization on Trojans in Code LLMs - Aftab et al.
Unlearning Trojans in Large Language Models: A Comparison Between Natural Language and Source Code - Kazemi et al.
Harnessing the Power of LLMs: Automating Unit Test Generation for High-Performance Computing - Karanjai et al.
Occlusion-based Detection of Trojan-triggering Inputs in Language Models of Code - Aftab et al.
Malicious and Unintentional Disclosure Risks in Large Language Models for Code Generation. Rafiqul Rabin, Sean McGregor, Nick Judd. The 3rd International Workshop on Mining Software Repositories Applications for Privacy and Security (MSR4P&S'25). Montréal, Québec, Canada, March 2025.
SandboxEval: Towards Securing Test Environment for Untrusted Code. Rafiqul Rabin, Jesse Hostetler, Sean McGregor, Brett Weir, Nick Judd. arXiv preprint 2025. (preprint, under submission, work-in-progress)
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, and Toufique Ahmed. The 47th IEEE/ACM International Conference on Software Engineering (ICSE'25). Ottawa, Ontario, Canada, May 2025.
Finding Trojan Triggers in Code LLMs: An Occlusion-based Human-in-the-loop Approach. Aftab Hussain, Md Rafiqul Islam Rabin, Toufique Ahmed, Mohammad Amin Alipour, Bowen Xu, Stephen Huang. Poster Track at the 4th International Conference on AI Engineering - Software Engineering for AI (CAIN'25). Ottawa, Ontario, Canada, April 2025.
Measuring Impacts of Poisoning on Model Parameters and Embeddings for Large Language Models of Code. Aftab Hussain, Md Rafiqul Islam Rabin, and Mohammad Amin Alipour. The 1st ACM International Conference on AI-powered Software (AIware'24). Porto de Galinhas, Brazil, July 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 Devanbu, and Mohammad Amin Alipour. Late Breaking Arxiv Track at the 1st ACM International Conference on AI-powered Software (AIware'24). Porto de Galinhas, Brazil, July 2024.
On Trojan Signatures in Large Language Models of Code. Aftab Hussain, Md Rafiqul Islam Rabin, and Mohammad Amin Alipour. ICLR 2024 Workshop on Secure and Trustworthy Large Language Models (SeTLLM@ICLR'24). Vienna, Austria, May 2024.
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.
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.