This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...

Researchers from Politecnico di Milano propose a data-driven water leak detection method that treats leaks as anomalies in ...

Explore behavioral analysis techniques for securing AI models against post-quantum threats. Learn how to identify anomalies and protect your AI infrastructure with quantum-resistant cryptography.

Abstract: The use of heart rate monitoring devices has increased significantly, leading to the emergence of a new class of consumer-grade wearable devices designed for continuous heart rate monitoring ...

Autonomous vehicles and robotic systems are increasingly used to perform operations in environments that bear potential risks to humans (e.g. areas affected by natural disasters, warfare, or planetary ...

This is the official code repository of our BMVC 2023 paper "De-identification of facial videos while preserving remote physiological utility". Our method can de-identify videos from machines, while ...

Abstract: As a commonly used model for anomaly detection, the autoencoder model for anomaly detection does not train the objective for extracted features, which is a downside of autoencoder model. In ...