Md. Rafiqul Islam Rabin

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 35

Top Topics

Static Analysis

Top Venues

Inf. Softw. Technol.

Publications

Aftab Hussain, Md. Rafiqul Islam Rabin, Mohammad Amin Alipour
Measuring Impacts of Poisoning on Model Parameters and Embeddings for Large Language Models of Code. CoRR (2024)
Rabimba Karanjai, Aftab Hussain, Md. Rafiqul Islam Rabin, Lei Xu, Weidong Shi, Mohammad Amin Alipour
Harnessing the Power of LLMs: Automating Unit Test Generation for High-Performance Computing. CoRR (2024)
Aftab Hussain, Md. Rafiqul Islam Rabin, Navid Ayoobi, Mohammad Amin Alipour
Measuring Impacts of Poisoning on Model Parameters and Neuron Activations: A Case Study of Poisoning CodeBERT. CoRR (2024)
Claudio Spiess, David Gros, Kunal Suresh Pai, Michael Pradel, Md. Rafiqul Islam Rabin, Susmit Jha, Prem Devanbu, Toufique Ahmed
Quality and Trust in LLM-generated Code. CoRR (2024)
Aftab Hussain, Md. Rafiqul Islam Rabin, Toufique Ahmed, Bowen Xu, Premkumar T. Devanbu, Mohammad Amin Alipour
Trojans in Large Language Models of Code: A Critical Review through a Trigger-Based Taxonomy. CoRR (2024)
Aftab Hussain, Md. Rafiqul Islam Rabin, Mohammad Amin Alipour
Measuring Impacts of Poisoning on Model Parameters and Embeddings for Large Language Models of Code. AIware (2024)
Aftab Hussain, Md. Rafiqul Islam Rabin, Mohammad Amin Alipour
On Trojan Signatures in Large Language Models of Code. CoRR (2024)
Aftab Hussain, Md. Rafiqul Islam Rabin, Bowen Xu, David Lo, Mohammad Amin Alipour
A Study of Variable-Role-based Feature Enrichment in Neural Models of Code. CoRR (2023)
Md. Rafiqul Islam Rabin, Aftab Hussain, Mohammad Amin Alipour, Vincent J. Hellendoorn
Memorization and generalization in neural code intelligence models. Inf. Softw. Technol. 153 (2023)
Md. Rafiqul Islam Rabin, Aftab Hussain, Sahil Suneja, Mohammad Amin Alipour
Study of Distractors in Neural Models of Code. InteNSE@ICSE (2023)
Aftab Hussain, Md. Rafiqul Islam Rabin, Toufique Ahmed, Bowen Xu, Prem Devanbu, Mohammad Amin Alipour
A Survey of Trojans in Neural Models of Source Code: Taxonomy and Techniques. CoRR (2023)
Aftab Hussain, Md. Rafiqul Islam Rabin, Mohammad Amin Alipour
TrojanedCM: A Repository for Poisoned Neural Models of Source Code. CoRR (2023)
Md. Rafiqul Islam Rabin, Aftab Hussain, Sahil Suneja, Mohammad Amin Alipour
Study of Distractors in Neural Models of Code. CoRR (2023)
Aftab Hussain, Md. Rafiqul Islam Rabin, Toufique Ahmed, Mohammad Amin Alipour, Bowen Xu
Occlusion-based Detection of Trojan-triggering Inputs in Large Language Models of Code. CoRR (2023)
Aftab Hussain, Md. Rafiqul Islam Rabin, Bowen Xu, David Lo, Mohammad Amin Alipour
A Study of Variable-Role-based Feature Enrichment in Neural Models of Code. InteNSE@ICSE (2023)
Md. Rafiqul Islam Rabin
Extracting Label-specific Key Input Features for Neural Code Intelligence Models. CoRR (2022)
Md. Rafiqul Islam Rabin, Aftab Hussain, Mohammad Amin Alipour
Syntax-guided program reduction for understanding neural code intelligence models. MAPS@PLDI (2022)
Md. Rafiqul Islam Rabin, Mohammad Amin Alipour
FeatureExtractor: A tool for extracting key input features of code intelligence models. Softw. Impacts 14 (2022)
Md. Rafiqul Islam Rabin, Aftab Hussain, Mohammad Amin Alipour
Syntax-Guided Program Reduction for Understanding Neural Code Intelligence Models. CoRR (2022)
Md. Rafiqul Islam Rabin, Mohammad Amin Alipour
Code2Snapshot: Using Code Snapshots for Learning Representations of Source Code. ICMLA (2022)
Md. Rafiqul Islam Rabin, Mohammad Amin Alipour
ProgramTransformer: A tool for generating semantically equivalent transformed programs. Softw. Impacts 14 (2022)
Md. Rafiqul Islam Rabin, Nghi D. Q. Bui, Ke Wang, Yijun Yu, Lingxiao Jiang, Mohammad Amin Alipour
On the generalizability of Neural Program Models with respect to semantic-preserving program transformations. Inf. Softw. Technol. 135 (2021)
Md. Rafiqul Islam Rabin, Mohammad Amin Alipour
Configuring test generators using bug reports: a case study of GCC compiler and Csmith. SAC (2021)
Md. Rafiqul Islam Rabin, Vincent J. Hellendoorn, Mohammad Amin Alipour
Understanding Neural Code Intelligence Through Program Simplification. CoRR (2021)
Md. Rafiqul Islam Rabin, Vincent J. Hellendoorn, Mohammad Amin Alipour
Understanding neural code intelligence through program simplification. ESEC/SIGSOFT FSE (2021)
Md. Rafiqul Islam Rabin, Aftab Hussain, Vincent J. Hellendoorn, Mohammad Amin Alipour
Memorization and Generalization in Neural Code Intelligence Models. CoRR (2021)
Md. Rafiqul Islam Rabin, Mohammad Amin Alipour
Encoding Program as Image: Evaluating Visual Representation of Source Code. CoRR (2021)
Mohammed Emtiaz Ahmed, Md. Rafiqul Islam Rabin, Farah Naz Chowdhury
COVID-19: Social Media Sentiment Analysis on Reopening. CoRR (2020)
Md. Rafiqul Islam Rabin, Arjun Mukherjee, Omprakash Gnawali, Mohammad Amin Alipour
Towards Demystifying Dimensions of Source Code Embeddings. CoRR (2020)
Md. Rafiqul Islam Rabin, Mohammad Amin Alipour
Evaluation of Generalizability of Neural Program Analyzers under Semantic-Preserving Transformations. CoRR (2020)
Md. Rafiqul Islam Rabin, Mohammad Amin Alipour
Configuring Test Generators using Bug Reports: A Case Study of GCC Compiler and Csmith. CoRR (2020)
Md. Rafiqul Islam Rabin, Nghi D. Q. Bui, Yijun Yu, Lingxiao Jiang, Mohammad Amin Alipour
On the Generalizability of Neural Program Analyzers with respect to Semantic-Preserving Program Transformations. CoRR (2020)
Md. Rafiqul Islam Rabin, Ke Wang, Mohammad Amin Alipour
Testing Neural Programs. CoRR (2019)
Md. Rafiqul Islam Rabin, Mohammad Amin Alipour
K-CONFIG: Using Failing Test Cases to Generate Test Cases in GCC Compilers. CoRR (2019)
Animesh Kumar Paul, Pintu Chandra Shill, Md. Rafiqul Islam Rabin, Kazuyuki Murase
Adaptive weighted fuzzy rule-based system for the risk level assessment of heart disease. Appl. Intell. 48 (7) (2018)