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ORCIDMohammad Amin Alipour
Amin Alipour
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2020 – today
- 2024
[c34]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- [c33]Matin Amoozadeh, David Daniels, Daye Nam, Aayush Kumar, Stella Chen, Michael Hilton, Sruti Srinivasa Ragavan, Mohammad Amin Alipour:
Trust in Generative AI among Students: An exploratory study. SIGCSE (1) 2024: 67-73 - [i35]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) - [i34]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) - [i33]Aftab Hussain, Md. Rafiqul Islam Rabin, Mohammad Amin Alipour:
On Trojan Signatures in Large Language Models of Code. CoRR abs/2402.16896 (2024) - [i32]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) - [i31]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) - [i30]Sruti Srinivasa Ragavan, Mohammad Amin Alipour:
Revisiting Human Information Foraging: Adaptations for LLM-based Chatbots. CoRR abs/2406.04452 (2024) - [i29]Matin Amoozadeh, Daye Nam, Daniel Prol, Ali Alfageeh, James Prather, Michael Hilton, Sruti Srinivasa Ragavan, Mohammad Amin Alipour:
Student-AI Interaction: A Case Study of CS1 students. CoRR abs/2407.00305 (2024) - [i28]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) - [i27]Mahdi Kazemi, Aftab Hussain, Md. Rafiqul Islam Rabin, Mohammad Amin Alipour, Sen Lin:
Unlearning Trojans in Large Language Models: A Comparison Between Natural Language and Source Code. CoRR abs/2408.12416 (2024) - 2023
- [j10]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) - [j9]Bader Alkhazi, Amin Alipour:
Multi-objective test selection of smart contract and blockchain applications. PeerJ Comput. Sci. 9: e1587 (2023) - [c32]Matin Amoozadeh, David Daniels, Stella Chen, Daye Nam, Aayush Kumar, Michael Hilton, Mohammad Amin Alipour, Sruti Srinivasa Ragavan:
Towards Characterizing Trust in Generative Artificial Intelligence among Students. ICER (2) 2023: 3-4 - [c31]Md. Rafiqul Islam Rabin, Aftab Hussain, Sahil Suneja, Mohammad Amin Alipour:
Study of Distractors in Neural Models of Code. InteNSE@ICSE 2023: 1-7 - [c30]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 - [i26]Md. Rafiqul Islam Rabin, Aftab Hussain, Sahil Suneja, Mohammad Amin Alipour:
Study of Distractors in Neural Models of Code. CoRR abs/2303.01739 (2023) - [i25]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) - [i24]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) - [i23]Matin Amoozadeh, David Daniels, Daye Nam, Stella Chen, Michael Hilton, Sruti Srinivasa Ragavan, Mohammad Amin Alipour:
Trust in Generative AI among students: An Exploratory Study. CoRR abs/2310.04631 (2023) - [i22]Aftab Hussain, Md. Rafiqul Islam Rabin, Mohammad Amin Alipour:
TrojanedCM: A Repository for Poisoned Neural Models of Source Code. CoRR abs/2311.14850 (2023) - [i21]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
- [j8]Md. Rafiqul Islam Rabin, Mohammad Amin Alipour:
ProgramTransformer: A tool for generating semantically equivalent transformed programs. Softw. Impacts 14: 100429 (2022) - [j7]Md. Rafiqul Islam Rabin, Mohammad Amin Alipour:
FeatureExtractor: A tool for extracting key input features of code intelligence models. Softw. Impacts 14: 100432 (2022) - [c29]Md. Rafiqul Islam Rabin, Mohammad Amin Alipour:
Code2Snapshot: Using Code Snapshots for Learning Representations of Source Code. ICMLA 2022: 843-848 - [c28]Aftab Hussain, Mohammad Amin Alipour:
Removing Uninteresting Bytes in Software Fuzzing. ICST Workshops 2022: 301-305 - [c27]Md. Rafiqul Islam Rabin, Aftab Hussain, Mohammad Amin Alipour:
Syntax-guided program reduction for understanding neural code intelligence models. MAPS@PLDI 2022: 70-79 - [i20]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
- [j6]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) - [j5]Giulia Toti, Mohammad Amin Alipour:
Computer Science Students' Perceptions of Emergency Remote Teaching: An Experience Report. SN Comput. Sci. 2(5): 378 (2021) - [c26]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 - [c25]Md. Rafiqul Islam Rabin, Vincent J. Hellendoorn, Mohammad Amin Alipour:
Understanding neural code intelligence through program simplification. ESEC/SIGSOFT FSE 2021: 441-452 - [i19]Md. Rafiqul Islam Rabin, Vincent J. Hellendoorn, Mohammad Amin Alipour:
Understanding Neural Code Intelligence Through Program Simplification. CoRR abs/2106.03353 (2021) - [i18]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) - [i17]Md. Rafiqul Islam Rabin, Mohammad Amin Alipour:
Encoding Program as Image: Evaluating Visual Representation of Source Code. CoRR abs/2111.01097 (2021) - [i16]Aftab Hussain, Mohammad Amin Alipour:
FMViz: Visualizing Tests Generated by AFL at the Byte-level. CoRR abs/2112.13207 (2021) - [i15]Aftab Hussain, Mohammad Amin Alipour:
DIAR: Removing Uninteresting Bytes from Seeds in Software Fuzzing. CoRR abs/2112.13297 (2021) - 2020
- [c24]Afiya Ayman, Shanto Roy, Amin Alipour, Aron Laszka:
Smart Contract Development from the Perspective of Developers: Topics and Issues Discussed on Social Media. Financial Cryptography Workshops 2020: 405-422 - [c23]Martin Velez, Michael Yen, Mathew Le, Zhendong Su, Mohammad Amin Alipour:
Student Adoption and Perceptions of a Web Integrated Development Environment: An Experience Report. SIGCSE 2020: 1172-1178 - [i14]Soodeh Atefi, Andrew Truelove, Matheus Rheinschmitt, Eduardo Santana de Almeida, Iftekhar Ahmed, Amin Alipour:
Examining user reviews of conversational systems: a case study of Alexa skills. CoRR abs/2003.00919 (2020) - [i13]Md. Rafiqul Islam Rabin, Mohammad Amin Alipour:
Evaluation of Generalizability of Neural Program Analyzers under Semantic-Preserving Transformations. CoRR abs/2004.07313 (2020) - [i12]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) - [i11]Md. Rafiqul Islam Rabin, Arjun Mukherjee, Omprakash Gnawali, Mohammad Amin Alipour:
Towards Demystifying Dimensions of Source Code Embeddings. CoRR abs/2008.13064 (2020) - [i10]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
- [c22]Andrew Truelove, Farah Naz Chowdhury, Omprakash Gnawali, Mohammad Amin Alipour:
Topics of concern: identifying user issues in reviews of IoT apps and devices. SERP4IoT@ICSE 2019: 33-40 - [i9]Soodeh Atefi, Mohammad Amin Alipour:
An Automated Testing Framework for Conversational Agents. CoRR abs/1902.06193 (2019) - [i8]Andrew Truelove, Farah Naz Chowdhury, Omprakash Gnawali, Mohammad Amin Alipour:
Users Issues in using the Internet of Things Systems. CoRR abs/1902.06384 (2019) - [i7]Amirreza Shirani, Bowen Xu, David Lo, Thamar Solorio, Amin Alipour:
Question Relatedness on Stack Overflow: The Task, Dataset, and Corpus-inspired Models. CoRR abs/1905.01966 (2019) - [i6]Afiya Ayman, Amna Aziz, Amin Alipour, Aron Laszka:
Smart Contract Development in Practice: Trends, Issues, and Discussions on Stack Overflow. CoRR abs/1905.08833 (2019) - [i5]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) - [i4]Md. Rafiqul Islam Rabin, Ke Wang, Mohammad Amin Alipour:
Testing Neural Programs. CoRR abs/1908.10711 (2019) - 2018
- [c21]Amirreza Shirani, Adrián Pastor López-Monroy, Fabio A. González, Thamar Solorio, Mohammad Amin Alipour:
Evaluation of Type Inference with Textual Cues. AAAI Workshops 2018: 783-786 - [c20]Bowen Xu, Amirreza Shirani, David Lo, Mohammad Amin Alipour:
Prediction of relatedness in stack overflow: deep learning vs. SVM: a reproducibility study. ESEM 2018: 21:1-21:10 - [c19]Arpit Christi, Matthew Lyle Olson, Mohammad Amin Alipour, Alex Groce:
Reduce Before You Localize: Delta-Debugging and Spectrum-Based Fault Localization. ISSRE Workshops 2018: 184-191 - [c18]Vincent J. Hellendoorn, Premkumar T. Devanbu, Mohammad Amin Alipour:
On the naturalness of proofs. ESEC/SIGSOFT FSE 2018: 724-728 - 2017
- [j4]Rahul Gopinath, Iftekhar Ahmed, Mohammad Amin Alipour, Carlos Jensen, Alex Groce:
Does choice of mutation tool matter? Softw. Qual. J. 25(3): 871-920 (2017) - [j3]Rahul Gopinath, Iftekhar Ahmed, Mohammad Amin Alipour, Carlos Jensen, Alex Groce:
Mutation Reduction Strategies Considered Harmful. IEEE Trans. Reliab. 66(3): 854-874 (2017) - [c17]Mohammad Amin Alipour, Sadaf Salehkalaibar:
On secure degrees of freedom for three-user MISO broadcast channel with three messages. IWCIT 2017: 1-6 - 2016
- [j2]Alex Groce, Mohammad Amin Alipour, Chaoqiang Zhang, Yang Chen, John Regehr:
Cause reduction: delta debugging, even without bugs. Softw. Test. Verification Reliab. 26(1): 40-68 (2016) - [c16]Rahul Gopinath, Mohammad Amin Alipour, Iftekhar Ahmed, Carlos Jensen, Alex Groce:
On the limits of mutation reduction strategies. ICSE 2016: 511-522 - [c15]Rahul Gopinath, Amin Alipour, Iftekhar Ahmed, Carlos Jensen, Alex Groce:
Measuring Effectiveness of Mutant Sets. ICST Workshops 2016: 132-141 - [c14]Mohammad Amin Alipour, Alex Groce, Rahul Gopinath, Arpit Christi:
Generating focused random tests using directed swarm testing. ISSTA 2016: 70-81 - [c13]Mohammad Amin Alipour, August Shi, Rahul Gopinath, Darko Marinov, Alex Groce:
Evaluating non-adequate test-case reduction. ASE 2016: 16-26 - [c12]Josie Holmes, Alex Groce, Mohammad Amin Alipour:
Mitigating (and exploiting) test reduction slippage. A-TEST@SIGSOFT FSE 2016: 66-69 - [i3]Mohammad Amin Alipour, Alex Groce, Chaoqiang Zhang, Anahita Sanadaji, Gokul Caushik:
Finding Model-Checkable Needles in Large Source Code Haystacks: Modular Bug-Finding via Static Analysis and Dynamic Invariant Discovery. CoRR abs/1609.06382 (2016) - [i2]Mohammad Amin Alipour, Alex Groce:
Bounded Model Checking and Feature Omission Diversity. CoRR abs/1610.08020 (2016) - [i1]Mohammad Amin Alipour, Alex Groce:
Data Poisoning: Lightweight Soft Fault Injection for Python. CoRR abs/1611.01501 (2016) - 2015
- [j1]Milos Gligoric, Alex Groce, Chaoqiang Zhang, Rohan Sharma, Mohammad Amin Alipour, Darko Marinov:
Guidelines for Coverage-Based Comparisons of Non-Adequate Test Suites. ACM Trans. Softw. Eng. Methodol. 24(4): 22:1-22:33 (2015) - [c11]Rahul Gopinath, Amin Alipour, Iftekhar Ahmed, Carlos Jensen, Alex Groce:
How hard does mutation analysis have to be, anyway? ISSRE 2015: 216-227 - 2014
- [c10]Alex Groce, Mohammad Amin Alipour, Chaoqiang Zhang, Yang Chen, John Regehr:
Cause Reduction for Quick Testing. ICST 2014: 243-252 - [c9]Chaoqiang Zhang, Alex Groce, Mohammad Amin Alipour:
Using test case reduction and prioritization to improve symbolic execution. ISSTA 2014: 160-170 - [c8]Duc Le, Mohammad Amin Alipour, Rahul Gopinath, Alex Groce:
MuCheck: an extensible tool for mutation testing of haskell programs. ISSTA 2014: 429-432 - [c7]Alex Groce, Mohammad Amin Alipour, Rahul Gopinath:
Coverage and Its Discontents. Onward! 2014: 255-268 - 2013
- [c6]Alex Groce, Chaoqiang Zhang, Mohammad Amin Alipour, Eric Eide, Yang Chen, John Regehr:
Help, help, i'm being suppressed! The significance of suppressors in software testing. ISSRE 2013: 390-399 - [c5]Milos Gligoric, Alex Groce, Chaoqiang Zhang, Rohan Sharma, Mohammad Amin Alipour, Darko Marinov:
Comparing non-adequate test suites using coverage criteria. ISSTA 2013: 302-313 - 2012
- [c4]Alex Groce, Alan Fern, Martin Erwig, Jervis Pinto, Tim Bauer, Mohammad Amin Alipour:
Learning-Based Test Programming for Programmers. ISoLA (1) 2012: 572-586 - [c3]Alex Groce, Alan Fern, Jervis Pinto, Tim Bauer, Mohammad Amin Alipour, Martin Erwig, Camden Lopez:
Lightweight Automated Testing with Adaptation-Based Programming. ISSRE 2012: 161-170 - [c2]Mohammad Amin Alipour, Alex Groce:
Extended program invariants: applications in testing and fault localization. WODA 2012: 7-11
2000 – 2009
- 2005
- [c1]Mohammad Amin Alipour:
Reactive Agent for Urban Traffic Control. FLAIRS 2005: 808-809
Coauthor Index
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last updated on 2024-09-30 00:07 CEST by the dblp team
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