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Wavelet-based adversarial training: Cybersecurity system protects medical digital twins from attacks
A digital twin is an exact virtual copy of a real-world system. Built using real-time data, they provide a platform to test, simulate, and optimize the performance of their physical counterpart. In ...
A digital twin is an exact virtual copy of a real-world system. Built using real-time data, they provide a platform to test, simulate, and optimize the performance of their physical counterpart. In ...
Imagine the following scenarios: An explosive device, an enemy fighter jet and a group of rebels are misidentified as a cardboard box, an eagle or a sheep herd. A lethal autonomous weapons system ...
Artificial intelligence and machine learning (AI/ML) systems trained using real-world data are increasingly being seen as open to certain attacks that fool the systems by using unexpected inputs. At ...
As governments look to regulate the online world, the scrutiny of the algorithms that sit behind popular websites and apps is only going to increase. With doubts over whether self-regulation can ever ...
In a new proof-of-concept, endpoint security provider Morphisec showed that the Exploit Prediction Scoring System (EPSS), one of the most widely used frameworks for assessing vulnerability exploits, ...
Adversarial AI exploits model vulnerabilities by subtly altering inputs (like images or code) to trick AI systems into misclassifying or misbehaving. These attacks often evade detection because they ...
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