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Md. Rafiqul Islam Rabin
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2020 – today
- 2024
- [c7]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 - [i23]Claudio Spiess, David Gros, Kunal Suresh Pai, Michael Pradel, Md. Rafiqul Islam Rabin, Amin Alipour, Susmit Jha, Prem Devanbu, Toufique Ahmed:
Calibration and Correctness of Language Models for Code. CoRR abs/2402.02047 (2024) - [i22]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 abs/2402.12936 (2024) - [i21]Aftab Hussain, Md. Rafiqul Islam Rabin, Mohammad Amin Alipour:
On Trojan Signatures in Large Language Models of Code. CoRR abs/2402.16896 (2024) - [i20]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 abs/2405.02828 (2024) - [i19]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 abs/2405.11466 (2024) - [i18]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 abs/2407.05202 (2024) - 2023
- [j5]Md. Rafiqul Islam Rabin, Aftab Hussain, Mohammad Amin Alipour, Vincent J. Hellendoorn:
Memorization and generalization in neural code intelligence models. Inf. Softw. Technol. 153: 107066 (2023) - [c6]Md. Rafiqul Islam Rabin, Aftab Hussain, Sahil Suneja, Mohammad Amin Alipour:
Study of Distractors in Neural Models of Code. InteNSE@ICSE 2023: 1-7 - [c5]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: 14-20 - [i17]Md. Rafiqul Islam Rabin, Aftab Hussain, Sahil Suneja, Mohammad Amin Alipour:
Study of Distractors in Neural Models of Code. CoRR abs/2303.01739 (2023) - [i16]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 abs/2303.04942 (2023) - [i15]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 abs/2305.03803 (2023) - [i14]Aftab Hussain, Md. Rafiqul Islam Rabin, Mohammad Amin Alipour:
TrojanedCM: A Repository for Poisoned Neural Models of Source Code. CoRR abs/2311.14850 (2023) - [i13]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 abs/2312.04004 (2023) - 2022
- [j4]Md. Rafiqul Islam Rabin, Mohammad Amin Alipour:
ProgramTransformer: A tool for generating semantically equivalent transformed programs. Softw. Impacts 14: 100429 (2022) - [j3]Md. Rafiqul Islam Rabin, Mohammad Amin Alipour:
FeatureExtractor: A tool for extracting key input features of code intelligence models. Softw. Impacts 14: 100432 (2022) - [c4]Md. Rafiqul Islam Rabin, Mohammad Amin Alipour:
Code2Snapshot: Using Code Snapshots for Learning Representations of Source Code. ICMLA 2022: 843-848 - [c3]Md. Rafiqul Islam Rabin, Aftab Hussain, Mohammad Amin Alipour:
Syntax-guided program reduction for understanding neural code intelligence models. MAPS@PLDI 2022: 70-79 - [i12]Md. Rafiqul Islam Rabin:
Extracting Label-specific Key Input Features for Neural Code Intelligence Models. CoRR abs/2202.06474 (2022) - [i11]Md. Rafiqul Islam Rabin, Aftab Hussain, Mohammad Amin Alipour:
Syntax-Guided Program Reduction for Understanding Neural Code Intelligence Models. CoRR abs/2205.14374 (2022) - 2021
- [j2]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: 106552 (2021) - [c2]Md. Rafiqul Islam Rabin, Mohammad Amin Alipour:
Configuring test generators using bug reports: a case study of GCC compiler and Csmith. SAC 2021: 1750-1758 - [c1]Md. Rafiqul Islam Rabin, Vincent J. Hellendoorn, Mohammad Amin Alipour:
Understanding neural code intelligence through program simplification. ESEC/SIGSOFT FSE 2021: 441-452 - [i10]Md. Rafiqul Islam Rabin, Vincent J. Hellendoorn, Mohammad Amin Alipour:
Understanding Neural Code Intelligence Through Program Simplification. CoRR abs/2106.03353 (2021) - [i9]Md. Rafiqul Islam Rabin, Aftab Hussain, Vincent J. Hellendoorn, Mohammad Amin Alipour:
Memorization and Generalization in Neural Code Intelligence Models. CoRR abs/2106.08704 (2021) - [i8]Md. Rafiqul Islam Rabin, Mohammad Amin Alipour:
Encoding Program as Image: Evaluating Visual Representation of Source Code. CoRR abs/2111.01097 (2021) - 2020
- [i7]Md. Rafiqul Islam Rabin, Mohammad Amin Alipour:
Evaluation of Generalizability of Neural Program Analyzers under Semantic-Preserving Transformations. CoRR abs/2004.07313 (2020) - [i6]Mohammed Emtiaz Ahmed, Md. Rafiqul Islam Rabin, Farah Naz Chowdhury:
COVID-19: Social Media Sentiment Analysis on Reopening. CoRR abs/2006.00804 (2020) - [i5]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 abs/2008.01566 (2020) - [i4]Md. Rafiqul Islam Rabin, Arjun Mukherjee, Omprakash Gnawali, Mohammad Amin Alipour:
Towards Demystifying Dimensions of Source Code Embeddings. CoRR abs/2008.13064 (2020) - [i3]Md. Rafiqul Islam Rabin, Mohammad Amin Alipour:
Configuring Test Generators using Bug Reports: A Case Study of GCC Compiler and Csmith. CoRR abs/2012.10662 (2020)
2010 – 2019
- 2019
- [i2]Md. Rafiqul Islam Rabin, Mohammad Amin Alipour:
K-CONFIG: Using Failing Test Cases to Generate Test Cases in GCC Compilers. CoRR abs/1908.10481 (2019) - [i1]Md. Rafiqul Islam Rabin, Ke Wang, Mohammad Amin Alipour:
Testing Neural Programs. CoRR abs/1908.10711 (2019) - 2018
- [j1]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): 1739-1756 (2018)
Coauthor Index
aka: Amin Alipour
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last updated on 2024-08-13 21:46 CEST by the dblp team
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