HealthTree Cure Hub: A Patient-Derived, Patient-Driven Clinical Cancer Information Platform Used to Overcome Hurdles and Accelerate Research in Multiple Myeloma Adversarial images represent a ...
IBM is hoping to advance the state of the art for artificial intelligence (AI) security with an open source project called the Adversarial Robustness Toolbox (ART). As AI usage is growing rapidly, ...
Deep neural networks (DNNs) can achieve high accuracy when there is abundant training data that has the same distribution as the test data. In practical applications, data deficiency is often a ...
Researchers have developed a novel framework, termed PDJA (Perception–Decision Joint Attack), that leverages artificial ...
The Defense Advanced Research Project Agency has issued a set of tools to help artificial intelligence researchers improve the security of algorithms. The Guaranteeing AI Robustness against Deception ...
The overall relationship between the attacker and the ego system. The black solid arrows indicate the direction of data flow, the red solid ones indicate the direction of gradient flow and the red ...
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 ...
Hosted on MSN
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 ...
The US National Institute of Standards and Technology (NIST) has warned that there are significant challenges and limitations for mitigating attacks on AI and machine learning (ML) systems. The agency ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback