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Stabilising Explainability Fragility in Cybersecurity AI: The Impact and Mitigation of Multicollinearity in Public Benchmark Datasets
研究发现多重共线性会严重削弱AI入侵检测的可解释性稳定性，并提出缓解策略，值得关注。
arXiv:2605.22529v1 Announce Type: cross Abstract: This paper investigates a unexplored yet impactful vulnerability in AI explainability used in intrus…