CodeBERTScore: an automatic metric for code generation, based on BERTScore
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Mar 1, 2024 - Jupyter Notebook
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CodeBERTScore: an automatic metric for code generation, based on BERTScore
EVIL (Exploiting software VIa natural Language) is an approach to automatically generate software exploits in assembly/Python language from descriptions in natural language. The approach leverages Neural Machine Translation (NMT) techniques and a dataset that we developed for this work.
Neural search engine for discovering semantically similar Python repositories on GitHub
language-model github-repository-search streamlit-application codebert code-understanding neural-search-engine
Augmenting the Interpretability of GraphCodeBERT for Code Similarity Tasks
code code-analysis pca-analysis semantic-similarity similarity-measures umap interpretability code-similarity clone-detection codebert graphcodebert
Repository about small code models
code-analysis code-similarity clone-detection t5-model codebert polycoder graphcodebert code-llms clone-detector codellms code-analysis-tools unixcoder plbart
This repository contains the code, the dataset and the experimental results related to the paper "Vulnerabilities in AI Code Generators: Exploring Targeted Data Poisoning Attacks" accepted for publication at The 32nd IEEE/ACM International Conference on Program Comprehension (ICPC 2024).
python dataset code-generation vulnerabilities nmt data-poisoning-attacks codebert software-security-assessment
🕵️♂️ ML project to identify malicious web payloads, aimed at boosting the effectiveness of WAFs and IDSs.
machine-learning random-forest transformers cybersecurity web-security feature-engineering web-application-firewall intrusion-detection-system codebert payload-detection
Improving Source Code Similarity Detection with GraphCodeBERT and Additional Feature Integration
semantic-similarity similarity-measures source-code-analysis code-similarity clone-detection codebert graphcodebert
Code of our paper "Method-Level Bug Severity Prediction using Source Code Metrics and LLMs" which is accepted to ISSRE 2023.
machine-learning deep-learning embedding bert bert-model bug-detection codebert severity-prediction largelanguagemodel
Advanced Detection of Source Code Clones via an Ensemble of Unsupervised Similarity Measures
semantic-similarity similarity-measures code-clones source-code-analysis code-similarity semantic-similarity-measures clone-detection code-intelligence clone-coding codebert graphcodebert
Fine-tuning CodeBERT for Vulnerability Detection
Fine-tuning CodeBERT with AST-based Vectors for Code Translation
Full implementation and experimental study of Presshammer
reinforcement-learning ai deep-learning vulnerability dram bitflip rowhammer codebert rowpress presshammer
This repository contains experiments on comparing the similarity of Python repositories using ML models.
Fine-tuned CodeBERT model detecting real security vulnerabilities (CWE-119, CWE-416, CWE-476+) in C/C++ — trained on 190K+ CVE functions, deployed as a FastAPI server, GitHub Action, and VS Code extension.
machine-learning transformers pytorch cybersecurity vscode-extension vulnerability-detection onnx github-actions codebert
Performs Code Summarization, Bug Detection, Bug Removal using different Natural language processing models including Garph CodeBERT, GREAT, GNN, CoText etc.
Implementation and dataset for A Zero-Shot Framework for Cross-Project Vulnerability Detection in Source Code (Empirical Software Engineering, 2026).
machine-learning deep-learning transfer-learning vulnerability-detection software-security zero-shot-learning empirical-software-engineering codebert
BERT-based MLM pretrained on LilyPond datasets
CodeBERT + LoRA fine-tuning for C/C++ vulnerability detection | F1 = 74.3% | PyTorch, HuggingFace Transformers, PEFT
nlp machine-learning deep-learning transformers pytorch cybersecurity lora vulnerability-detection codebert
CalibGuard：低成本文件安全审计系统（本地校准 CodeBERT 门控 + 云端 LLM 按需复核）
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