Testing Framework for Black-box AI Models

2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)(2021)

引用 7|浏览26
暂无评分
摘要
With widespread adoption of AI models for important decision making, ensuring reliability of such models remains an important challenge. In this paper, we present an end-to-end generic framework for testing AI Models which performs automated test generation for different modalities such as text, tabular, and time-series data and across various properties such as accuracy, fairness, and robustness....
更多
查看译文
关键词
Decision making,Tools,Robustness,Test pattern generators,Artificial intelligence,Testing,Software engineering
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要