Saved in:
| Main Authors: | Joshi, Bhaskar, Khani, Sepideh HajiHossein, HabibiLashkari, Arash |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2406.19896 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Reassessing Code Authorship Attribution in the Era of Language Models
by: Dipongkor, Atish Kumar, et al.
Published: (2025)
by: Dipongkor, Atish Kumar, et al.
Published: (2025)
I Can Find You in Seconds! Leveraging Large Language Models for Code Authorship Attribution
by: Choi, Soohyeon, et al.
Published: (2025)
by: Choi, Soohyeon, et al.
Published: (2025)
I Know Which LLM Wrote Your Code Last Summer: LLM generated Code Stylometry for Authorship Attribution
by: Bisztray, Tamas, et al.
Published: (2025)
by: Bisztray, Tamas, et al.
Published: (2025)
MACAA: Belief-Revision Multi-Agent Reasoning for Code Authorship Verification
by: Ye, Jingwei, et al.
Published: (2026)
by: Ye, Jingwei, et al.
Published: (2026)
Automated Testing of Broken Authentication Vulnerabilities in Web APIs with AuthREST
by: Corradini, Davide, et al.
Published: (2025)
by: Corradini, Davide, et al.
Published: (2025)
SDPERL: A Framework for Software Defect Prediction Using Ensemble Feature Extraction and Reinforcement Learning
by: Hesamolhokama, Mohsen, et al.
Published: (2024)
by: Hesamolhokama, Mohsen, et al.
Published: (2024)
ML-EcoLyzer: Quantifying the Environmental Cost of Machine Learning Inference Across Frameworks and Hardware
by: Minoza, Jose Marie Antonio, et al.
Published: (2025)
by: Minoza, Jose Marie Antonio, et al.
Published: (2025)
Packed Malware Detection Using Grayscale Binary-to-Image Representations
by: Alkhateeb, Ehab, et al.
Published: (2025)
by: Alkhateeb, Ehab, et al.
Published: (2025)
Future-Proofing Cloud Security Against Quantum Attacks: Risk, Transition, and Mitigation Strategies
by: Baseri, Yaser, et al.
Published: (2025)
by: Baseri, Yaser, et al.
Published: (2025)
SWE-Bench+: Enhanced Coding Benchmark for LLMs
by: Aleithan, Reem, et al.
Published: (2024)
by: Aleithan, Reem, et al.
Published: (2024)
Enhancing LLM Code Generation with Ensembles: A Similarity-Based Selection Approach
by: Mahmud, Tarek, et al.
Published: (2025)
by: Mahmud, Tarek, et al.
Published: (2025)
Unveiling Memorization in Code Models
by: Yang, Zhou, et al.
Published: (2023)
by: Yang, Zhou, et al.
Published: (2023)
The Auth Shim: A Lightweight Architectural Pattern for Integrating Enterprise SSO with Standalone Open-Source Applications
by: Agrawal, Yuvraj
Published: (2025)
by: Agrawal, Yuvraj
Published: (2025)
CodeSense: a Real-World Benchmark and Dataset for Code Semantic Reasoning
by: Roy, Monoshi Kumar, et al.
Published: (2025)
by: Roy, Monoshi Kumar, et al.
Published: (2025)
Evaluating ChatGPT-3.5 Efficiency in Solving Coding Problems of Different Complexity Levels: An Empirical Analysis
by: Li, Minda, et al.
Published: (2024)
by: Li, Minda, et al.
Published: (2024)
SWE-QA: A Dataset and Benchmark for Complex Code Understanding
by: Elkoussy, Laïla, et al.
Published: (2026)
by: Elkoussy, Laïla, et al.
Published: (2026)
Code Fingerprints: Disentangled Attribution of LLM-Generated Code
by: Guo, Jiaxun, et al.
Published: (2026)
by: Guo, Jiaxun, et al.
Published: (2026)
CodeAssistBench (CAB): Dataset & Benchmarking for Multi-turn Chat-Based Code Assistance
by: Kim, Myeongsoo, et al.
Published: (2025)
by: Kim, Myeongsoo, et al.
Published: (2025)
Which Code Statements Implement Privacy Behaviors in Android Applications?
by: Su, Chia-Yi, et al.
Published: (2025)
by: Su, Chia-Yi, et al.
Published: (2025)
Ensemble-Based Uncertainty Estimation for Code Correctness Estimation
by: Wei, Yunxiang, et al.
Published: (2026)
by: Wei, Yunxiang, et al.
Published: (2026)
Enhancing Security in Third-Party Library Reuse -- Comprehensive Detection of 1-day Vulnerability through Code Patch Analysis
by: Xu, Shangzhi, et al.
Published: (2024)
by: Xu, Shangzhi, et al.
Published: (2024)
Clean Code, Better Models: Enhancing LLM Performance with Smell-Cleaned Dataset
by: Xue, Zhipeng, et al.
Published: (2025)
by: Xue, Zhipeng, et al.
Published: (2025)
Deep-Bench: Deep Learning Benchmark Dataset for Code Generation
by: Daghighfarsoodeh, Alireza, et al.
Published: (2025)
by: Daghighfarsoodeh, Alireza, et al.
Published: (2025)
Automated Generation of Accurate Privacy Captions From Android Source Code Using Large Language Models
by: Jain, Vijayanta, et al.
Published: (2026)
by: Jain, Vijayanta, et al.
Published: (2026)
Unveiling Code Clones in the Eclipse IIoT Software Ecosystem
by: Li, Zengyang, et al.
Published: (2026)
by: Li, Zengyang, et al.
Published: (2026)
ADC: Enhancing Function Calling Via Adversarial Datasets and Code Line-Level Feedback
by: Zhang, Wei, et al.
Published: (2024)
by: Zhang, Wei, et al.
Published: (2024)
VecIntrinBench: Benchmarking Cross-Architecture Intrinsic Code Migration for RISC-V Vector
by: Han, Liutong, et al.
Published: (2025)
by: Han, Liutong, et al.
Published: (2025)
Retrospective: Data Mining Static Code Attributes to Learn Defect Predictors
by: Menzies, Tim
Published: (2025)
by: Menzies, Tim
Published: (2025)
Bias Unveiled: Investigating Social Bias in LLM-Generated Code
by: Ling, Lin, et al.
Published: (2024)
by: Ling, Lin, et al.
Published: (2024)
COFFE: A Code Efficiency Benchmark for Code Generation
by: Peng, Yun, et al.
Published: (2025)
by: Peng, Yun, et al.
Published: (2025)
PromptSet: A Programmer's Prompting Dataset
by: Pister, Kaiser, et al.
Published: (2024)
by: Pister, Kaiser, et al.
Published: (2024)
Ensembling Large Language Models for Code Vulnerability Detection: An Empirical Evaluation
by: Sun, Zhihong, et al.
Published: (2025)
by: Sun, Zhihong, et al.
Published: (2025)
Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough?
by: Vitale, Antonio, et al.
Published: (2025)
by: Vitale, Antonio, et al.
Published: (2025)
EnStack: An Ensemble Stacking Framework of Large Language Models for Enhanced Vulnerability Detection in Source Code
by: Ridoy, Shahriyar Zaman, et al.
Published: (2024)
by: Ridoy, Shahriyar Zaman, et al.
Published: (2024)
Bridging Behavioral Biometrics and Source Code Stylometry: A Survey of Programmer Attribution
by: Horvath, Marek, et al.
Published: (2026)
by: Horvath, Marek, et al.
Published: (2026)
Leveraging Graph-RAG and Prompt Engineering to Enhance LLM-Based Automated Requirement Traceability and Compliance Checks
by: Masoudifard, Arsalan, et al.
Published: (2024)
by: Masoudifard, Arsalan, et al.
Published: (2024)
CodeCircuit: Toward Inferring LLM-Generated Code Correctness via Attribution Graphs
by: He, Yicheng, et al.
Published: (2026)
by: He, Yicheng, et al.
Published: (2026)
MANILA: A Low-Code Application to Benchmark Machine Learning Models and Fairness-Enhancing Methods
by: d'Aloisio, Giordano
Published: (2025)
by: d'Aloisio, Giordano
Published: (2025)
SWE Atlas: Benchmarking Coding Agents Beyond Issue Resolution
by: Raghavendra, Mohit, et al.
Published: (2026)
by: Raghavendra, Mohit, et al.
Published: (2026)
CASTLE: Benchmarking Dataset for Static Code Analyzers and LLMs towards CWE Detection
by: Dubniczky, Richard A., et al.
Published: (2025)
by: Dubniczky, Richard A., et al.
Published: (2025)
Similar Items
-
Reassessing Code Authorship Attribution in the Era of Language Models
by: Dipongkor, Atish Kumar, et al.
Published: (2025) -
I Can Find You in Seconds! Leveraging Large Language Models for Code Authorship Attribution
by: Choi, Soohyeon, et al.
Published: (2025) -
I Know Which LLM Wrote Your Code Last Summer: LLM generated Code Stylometry for Authorship Attribution
by: Bisztray, Tamas, et al.
Published: (2025) -
MACAA: Belief-Revision Multi-Agent Reasoning for Code Authorship Verification
by: Ye, Jingwei, et al.
Published: (2026) -
Automated Testing of Broken Authentication Vulnerabilities in Web APIs with AuthREST
by: Corradini, Davide, et al.
Published: (2025)