Abstract: Few-shot object detection receives much attention with the ability to detect novel class objects using limited annotated data. The transfer learning-based solution becomes popular due to its ...
Abstract: With the rise of autonomous driving, LiDAR-based object detection using deep neural networks (DNNs) has shown exceptional performance. However, DNNs are vulnerable to adversarial attacks, ...
Threat actors with suspected ties to China have turned a legitimate open-source monitoring tool called Nezha into an attack weapon, using it to deliver a known malware called Gh0st RAT to targets. The ...
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