BeClaude
Research2026-04-28

Comparative Insights on Adversarial Machine Learning from Industry and Academia: A User-Study Approach

Source: Arxiv CS.AI

arXiv:2602.04753v2 Announce Type: replace-cross Abstract: An exponential growth of Machine Learning and its Generative AI applications brings with it significant security challenges, often referred to as Adversarial Machine Learning (AML). In this paper, we conducted two comprehensive studies to...

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