A new hierarchical clustering technique for restructuring software at the function level. - Aftab Hussain 001; Md. Saidur Rahman 001 (ISEC, 2013)

From query to usable code: an analysis of stack overflow code snippets. - Di Yang 001; Aftab Hussain 001; Cristina Videira Lopes (MSR, 2016)

Graspan: A Single-machine Disk-based Graph System for Interprocedural Static Analyses of Large-scale Systems Code. - Kai Wang 029; Aftab Hussain 001; Zhiqiang Zuo 002; Guoqing Xu 001; Ardalan Amiri Sani (ASPLOS, 2017)

A holistic look at requirements engineering practices in the gaming industry. - Aftab Hussain 001; Omar Asadi; Debra J. Richardson (CoRR, 2018)

LXDs: Towards Isolation of Kernel Subsystems. - Vikram Narayanan; Abhiram Balasubramanian; Charlie Jacobsen; Sarah Spall; Scotty Bauer; Michael Quigley; Aftab Hussain 001; Abdullah Younis; Junjie Shen 001; Moinak Bhattacharyya; Anton Burtsev (USENIX ATC, 2019)

Systemizing Interprocedural Static Analysis of Large-scale Systems Code with Graspan. - Zhiqiang Zuo 002; Kai Wang 029; Aftab Hussain 001; Ardalan Amiri Sani; Yiyu Zhang; Shenming Lu; Wensheng Dou; Linzhang Wang; Xuandong Li; Chenxi Wang; Guoqing Harry Xu (ACM Trans. Comput. Syst., 2020)

FMViz: Visualizing Tests Generated by AFL at the Byte-level. - Aftab Hussain 001; Mohammad Amin Alipour (CoRR, 2021)

DIAR: Removing Uninteresting Bytes from Seeds in Software Fuzzing. - Aftab Hussain 001; Mohammad Amin Alipour (CoRR, 2021)

Removing Uninteresting Bytes in Software Fuzzing. - Aftab Hussain 001; Mohammad Amin Alipour (ICST Workshops, 2022)

Syntax-guided program reduction for understanding neural code intelligence models. - Md. Rafiqul Islam Rabin; Aftab Hussain 001; Mohammad Amin Alipour (MAPS@PLDI, 2022)

A Study of Variable-Role-based Feature Enrichment in Neural Models of Code. - Aftab Hussain 001; Md. Rafiqul Islam Rabin; Bowen Xu; David Lo 001; Mohammad Amin Alipour (InteNSE@ICSE, 2023)

Study of Distractors in Neural Models of Code. - Md. Rafiqul Islam Rabin; Aftab Hussain 001; Sahil Suneja; Mohammad Amin Alipour (InteNSE@ICSE, 2023)

A Survey of Trojans in Neural Models of Source Code: Taxonomy and Techniques. - Aftab Hussain 001; Md. Rafiqul Islam Rabin; Toufique Ahmed; Bowen Xu; Prem Devanbu; Mohammad Amin Alipour (CoRR, 2023)

TrojanedCM: A Repository for Poisoned Neural Models of Source Code. - Aftab Hussain 001; Md. Rafiqul Islam Rabin; Mohammad Amin Alipour (CoRR, 2023)

Occlusion-based Detection of Trojan-triggering Inputs in Large Language Models of Code. - Aftab Hussain 001; Md. Rafiqul Islam Rabin; Toufique Ahmed; Mohammad Amin Alipour; Bowen Xu (CoRR, 2023)

Memorization and generalization in neural code intelligence models. - Md. Rafiqul Islam Rabin; Aftab Hussain 001; Mohammad Amin Alipour; Vincent J. Hellendoorn (Inf. Softw. Technol., 2023)

Measuring Impacts of Poisoning on Model Parameters and Embeddings for Large Language Models of Code. - Aftab Hussain 001; Md. Rafiqul Islam Rabin; Mohammad Amin Alipour (AIware, 2024)

Measuring Impacts of Poisoning on Model Parameters and Neuron Activations: A Case Study of Poisoning CodeBERT. - Aftab Hussain 001; Md. Rafiqul Islam Rabin; Navid Ayoobi; Mohammad Amin Alipour (CoRR, 2024)

On Trojan Signatures in Large Language Models of Code. - Aftab Hussain 001; Md. Rafiqul Islam Rabin; Mohammad Amin Alipour (CoRR, 2024)

Trojans in Large Language Models of Code: A Critical Review through a Trigger-Based Taxonomy. - Aftab Hussain 001; Md. Rafiqul Islam Rabin; Toufique Ahmed; Bowen Xu; Premkumar T. Devanbu; Mohammad Amin Alipour (CoRR, 2024)

Harnessing the Power of LLMs: Automating Unit Test Generation for High-Performance Computing. - Rabimba Karanjai; Aftab Hussain 001; Md. Rafiqul Islam Rabin; Lei Xu 012; Weidong Shi; Mohammad Amin Alipour (CoRR, 2024)

Unlearning Trojans in Large Language Models: A Comparison Between Natural Language and Source Code. - Mahdi Kazemi; Aftab Hussain 001; Md. Rafiqul Islam Rabin; Mohammad Amin Alipour; Sen Lin (CoRR, 2024)

Finding Trojan Triggers in Code LLMs: An Occlusion-Based Human-in-the-Loop Approach. - Aftab Hussain 001; Md. Rafiqul Islam Rabin; Toufique Ahmed; Mohammad Amin Alipour; Bowen Xu; Stephen Huang (CAIN, 2025)

Capturing the Effects of Quantization on Trojans in Code LLMs. - Aftab Hussain 001; Sadegh AlMahdi Kazemi Zarkouei; Md. Rafiqul Islam Rabin; Mohammad Amin Alipour; Sen Lin; Bowen Xu (CoRR, 2025)