Abstract: Over the past few years, the challenge has been the increasing and significant attacks on anomaly detection processes. While attacks in anomaly detection can be easily predicted using ...
Abstract: To fight against real-life image forgery, which commonly involves different types and combined manipulations, we propose a unified deep neural architecture called ManTra-Net. Unlike many ...
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Brain-inspired hardware brings faster, lower-power anomaly detection to AI systems
The brain's cerebellum doesn't waste energy analyzing every moment. Instead, it constantly monitors the world for the ...
When AI-driven detection underperforms, the instinct is to tune the algorithm, retrain the model or push the vendor for a ...
There are some obvious big picture issues that stand between us and useful quantum computing. Issues like whether we can make ...
Improving macrophage-mediated senescent neutrophil clearance in mice prevented age-related decline, offering potential targets for antiaging therapies.
Therefore, the reported accuracy, precision, recall, F1-score, false alarm rate, and detection lead-time metrics should not be interpreted as conventional supervised classification performance, but ...
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