AI RESEARCH
Robustness Analysis of Machine Learning Models for IoT Intrusion Detection Under Data Poisoning Attacks
arXiv CS.AI
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ArXi:2604.14444v1 Announce Type: cross Ensuring the reliability of machine learning-based intrusion detection systems remains a critical challenge in Internet of Things (IoT) environments, particularly as data poisoning attacks increasingly threaten the integrity of model