Recent studies have identified the lack of robustness in current AI models against adversarial examples—intentionally manipulated prediction-evasive data inputs that are similar to normal data but ...

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Recent years have seen tremendous advances in the development of artificial intelligence (AI). Modern AI systems achieve human-level performance on cognitive tasks such as recognizing objects in ...

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, ...

Cybersecurity firm Raptoric has launched a security testing service for high-risk AI systems, covering adversarial, ...

OpenAI has announced research results showing that the longer the inference time, the more effective the defense against adversarial attacks that intentionally confuse AI. AI developers have been ...

This article includes research findings that are yet to be peer-reviewed. Results are therefore regarded as preliminary and should be interpreted as such. Find out about the role of the peer review ...