Redempt1onzzZZ / FUTURELinks
[ICSE 2025] The Seeds of the FUTURE Sprout from History: Fuzzing for Unveiling Vulnerabilities in Prospective Deep-Learning Libraries (ACM SIGSOFT Distinguished Paper Award)
☆15Updated last month
Alternatives and similar repositories for FUTURE
Users that are interested in FUTURE are comparing it to the libraries listed below
Sorting:
- ☆31Updated 2 months ago
- ☆30Updated last year
- Repository for PrimeVul Vulnerability Detection Dataset☆179Updated last year
- A continuously updated collection of CodeLLM papers maintained by PurCL group @ Purdue☆540Updated last month
- [TOSEM 2023] A Survey of Learning-based Automated Program Repair☆69Updated last year
- [SOSP'25] Automatic checker synthesis for system-level static analysis☆43Updated last week
- ☆121Updated last year
- Large Language Models for Software Engineering☆245Updated 2 months ago
- Artifact for ESEC/FSE'23 paper "NeuRI: Diversifying DNN Generation via Inductive Rule Inference"☆31Updated last year
- [2023 TDSC] Pre-trained Model-based Automated Software Vulnerability Repair: How Far are We?☆25Updated 2 years ago
- ✅SRepair: Powerful LLM-based Program Repairer with $0.029/Fixed Bug☆70Updated last year
- TensorFlow API analysis tool and malicious model detection tool☆34Updated 4 months ago
- Fuzzing Deep-Learning Libraries via Automated Relational API Inference (ESEC/FSE 2022)☆39Updated 2 years ago
- Fuzzing Automatic Differentiation in Deep-Learning Libraries (ICSE'23)☆24Updated last year
- ☆86Updated 2 years ago
- For our ISSTA23 paper "How Effective are Neural Networks for Fixing Security Vulnerabilities?" by Yi Wu, Nan Jiang, Hung Viet Pham, Thiba…☆39Updated last year
- [ICSE 2024 Industry Challenge Track] Official implementation of "ReposVul: A Repository-Level High-Quality Vulnerability Dataset".☆77Updated 10 months ago
- tool of llm-based indirect-call analyzer☆30Updated 7 months ago
- WhiteFox: White-Box Compiler Fuzzing Empowered by Large Language Models (OOPSLA 2024)☆70Updated last month
- A Systematic Literature Review on Large Language Models for Automated Program Repair