Abstract: Marine object detection plays a crucial role in various applications such as collision avoidance and autonomous navigation in maritime environments. While most existing datasets focus on 2D ...

South Korea is transitioning crypto market surveillance to AI-driven systems, in which algorithms automatically detect suspicious trading activity, replacing manual processes. The new detection model ...

A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact with specific advertisement elements. The mechanism relies on visual ...

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Abstract: Android malware poses a persistent and evolving threat to mobile security, considering its capability to compromise sensitive user data and evade traditional detection methods. While ...

Android 16 QPR3 will introduce a subtle feature that reveals which app is accessing a user's location at a given time. The update, which will roll out in March 2026 and is now available via beta, adds ...

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...

Japanese content trade group CODA — whose members include award-winning animation house Studio Ghibli — issued a letter to OpenAI demanding the AI company stop using their content to train its Sora 2 ...

A new Android malware family, Herodotus, uses random delay injection in its input routines to mimic human behavior on mobile devices and evade timing-based detection by security software. Herodotus, ...

The takeaway: The new system positions YouTube among the first major online platforms to embed large-scale identity-protection capabilities directly into its content moderation tools. The feature ...