CodeLlama
Emerging4papers using it
2025first seen
CodeLlama is a dataset/benchmark used to evaluate the effectiveness of adversarial attacks on AI code generation systems by analyzing their vulnerability to context-based inputs.
Papers using CodeLlama (4)
- Context-Based Adversarial Attacks on AI Code Generators: Vulnerability Analysis and ImplicationsUnderstanding Robustness of Model Editing in Code LLMsIs Quantization a Deal-breaker? Empirical Insights from Large Code ModelsI Can't Share Code, but I need Translation -- An Empirical Study on Code
Translation through Federated LLM