📄 中文摘要
A.S.E（AI安全评估）是一个新的基准测试框架，旨在评估AI生成代码的安全性。该框架通过提供一系列标准化的测试用例，帮助开发者识别和修复潜在的安全漏洞。A.S.E 重点关注代码的安全性，涵盖了常见的安全问题，如注入攻击、身份验证缺陷和数据泄露等。通过使用 A.S.E，开发者可以在开发过程中更有效地评估和提高代码的安全性，从而降低安全风险。该框架的设计考虑了易用性和灵活性，使其能够与现有的开发工具和流程无缝集成。
A.S.E：用于评估 AI 生成代码安全性的库级基准
📄 English Summary
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code
A.S.E (AI Security Evaluation) is a new benchmarking framework designed to evaluate the security of AI-generated code. It provides a set of standardized test cases that help developers identify and fix potential security vulnerabilities. A.S.E focuses on various security issues, including injection attacks, authentication flaws, and data leaks. By utilizing A.S.E, developers can more effectively assess and enhance the security of their code during the development process, thereby reducing security risks. The framework is designed with usability and flexibility in mind, allowing seamless integration with existing development tools and workflows.