OWASP刚刚发布了一份AI安全测试指南。
我偶然发现了一些有趣的事情：OWASP悄悄发布了一本全新的指南，专注于人工智能系统的测试。这本指南叫做《人工智能测试指南》（AI Testing Guide，AITG）。它探讨了一些内容，包括：提示注入和对抗性攻击、模型输出的隐私泄露、公平性、偏见和可解释性测试、数据漂移和现实世界的鲁棒性以及模型的可复现性。
我喜欢的是，它实际上为在生产环境中测试模型提供了一个实用的结构，特别适合那些正在推出大型语言模型（LLM）或推荐引擎的团队。
查看原文
Just stumbled across something interesting: OWASP quietly released a new guide focused entirely on AI system testing. It's called the AI Testing Guide (AITG). Some of the stuff it digs into: Prompt injection and adversarial attacks, Privacy leaks from model outputs, Fairness, bias, and explainability testing, Data drift and real-world robustness and Model reproducibility.<p>What I liked is it actually gives a practical structure for testing models in production, especially for teams shipping LLMs or recommendation engines.