Abstract: The widespread application of multimodal data in artificial intelligence systems brings serious privacy leakage risks and security threats. Differential privacy technology can provide ...

In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct ...

Your brain calculates complex physics every day and you don't even notice. This neuromorphic chip taps into the same idea.

Read more about Privacy-by-design AI targets mind wandering and disengagement in digital classrooms on Devdiscourse ...

Secure your MCP metadata streams with post-quantum encryption and AI-driven anomaly detection. Learn to stop puppet attacks and tool poisoning in AI infrastructure.

IBM researchers unveil quantum algorithm achieving potential exponential speedup for solving chaotic differential equations, with implications for fusion energy and climate modeling. IBM researchers ...

BEIJING, Dec ‌20 (Reuters) - The content recommendation algorithm that powers the online short ‌video platform TikTok has once again come under the spotlight after the app's Chinese owner ByteDance ...

This paper is a review of differential privacy in data collection. Differential privacy is a mathematical framework that protects individual privacy when third parties collect and analyze sensitive ...

More B2B companies are leaning into data-sharing partnerships to sharpen decision-making and streamline operations. While the approach can open up valuable opportunities, it’s essential to remember ...

From principles to practice: Operationalizing Nigeria's Data Protection Act through the GAID EU member states' leaked Digital Omnibus compromise proposal eliminates revised GDPR definition of ...

new video loaded: I’m Building an Algorithm That Doesn’t Rot Your Brain transcript “Our brains are being melted by the algorithm.” [MUSIC PLAYING] “Attention is infrastructure.” “Those algorithms are ...