Deep learning systems on phones, cars, and other edge devices increasingly run on custom silicon. Specialized chips such as FPGAs and ASICs give these systems the speed and low power consumption that edge applications need. Many of these chips come from third-party design houses and foundries, which adds steps to the supply chain where an outside party can alter a device. Researchers at the University of Tennessee and the University of Florida built an attack … More →
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Sniper Dz Scams Target MENA Users via Fake Facebook Offers and Browser Alerts
Cybersecurity researchers have disclosed details of fraudulent activity targeting users across the Middle East and North Africa by employing various fraudulent Facebook accounts impersonating politicians,
