☆15Jun 5, 2024Updated 2 years ago
Alternatives and similar repositories for VPP
Users that are interested in VPP are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A Well-labeled C/C++ Vulnerability Dataset with Comprehensive Metadata and VCCs☆23Feb 26, 2026Updated 7 months ago
- EaTVul: ChatGPT-based Evasion Attack Against Software Vulnerability Detection☆18Jan 6, 2025Updated last year
- CleanVul: Automatic Function-Level Vulnerability Detection in Code Commits Using LLM Heuristics☆23Aug 20, 2026Updated last month
- Code for ICSE'24 Paper☆14Apr 21, 2024Updated 2 years ago
- ☆26Feb 6, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- VulExplainer: A Transformer-based Hierarchical Distillation for Explaining Vulnerability Types☆19Nov 24, 2023Updated 2 years ago
- ☆40Jun 23, 2025Updated last year
- The official repository of ICSME'23 paper "Exploring Security Commits in Python"☆19Jul 12, 2023Updated 3 years ago
- ☆10Apr 15, 2023Updated 3 years ago
- LLAP is an LLVM-based tool for generating enriched program dependency graphs (ePDGs) from program source code that are suitable for use i…☆16May 17, 2023Updated 3 years ago
- 🪐 A Database of Existing Security Vulnerabilities Patches to Enable Evaluation of Techniques (single-commit; multi-language)☆48Apr 14, 2025Updated last year
- SecLLMHolmes is a generalized, fully automated, and scalable framework to systematically evaluate the performance (i.e., accuracy and rea…☆68May 4, 2025Updated last year
- [ACL 2026 Main] SecureVibeBench: Benchmarking Secure Vibe Coding of AI Agents via Reconstructing Vulnerability-Introducing Scenarios☆20Sep 29, 2026Updated last week
- ☆11Jun 8, 2021Updated 5 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.