AINeutralarXiv – CS AI · Mar 34/106
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Quantifying Catastrophic Forgetting in IoT Intrusion Detection Systems
Researchers developed a framework to address catastrophic forgetting in IoT intrusion detection systems using continual learning approaches. The study benchmarked five methods across 48 attack domains, finding that replay-based approaches performed best overall while Synaptic Intelligence achieved near-zero forgetting with high efficiency.
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