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New Blog Post | Spotting brand impersonation with Swin transformers and Siamese neural networks

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Fig-1b-Example-of-a-Microsoft-brand-impersonation-attempt.png

Spotting brand impersonation with Swin transformers and Siamese neural networks | Microsoft Security...

Every day, Microsoft Defender for Office 365 encounters around one billion brand impersonation emails. Our security solutions use multiple detection and prevention techniques to help users avoid divulging sensitive information to phishers as attackers continue refining their impersonation tricks. In this blog, we discuss our latest innovation toward developing another detection layer focusing on the visual components of brand impersonation attacks. We presented this approach in our Black Hat briefing Siamese neural networks for detecting brand impersonation today.

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