Publication
ICSE 2021
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Testing Framework for Black-box AI Models

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Abstract

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. Our tool has been used for testing industrial AI models and was very effective to uncover issues present in those models.

Date

20 May 2021

Publication

ICSE 2021

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