facialrecognition (3)

31224322883?profile=RESIZE_400xCybersecurity researcher Jeremiah Fowler has identified a significant data exposure involving millions of private facial images.  In a collaborative investigation conducted with ExpressVPN, Fowler discovered a publicly accessible database containing approximately 9,042,977 images.   The collection, totaling 450.2GB of data, was found with no password protection or encryption, leaving it open to any internet user who stumbled upon the repository.[1]

The discovery highlights a worrying security la

31224322883?profile=RESIZE_400xCybersecurity researcher Jeremiah Fowler has identified a significant data exposure involving millions of private facial images.  In a collaborative investigation conducted with ExpressVPN, Fowler discovered a publicly accessible database containing approximately 9,042,977 images.   The collection, totaling 450.2GB of data, was found with no password protection or encryption, leaving it open to any internet user who stumbled upon the repository.[1]

The discovery highlights a worrying security la

13707471882?profile=RESIZE_400xAutonomous vehicles and many other automated systems are controlled by AI, but the AI itself could be compromised by malicious attackers who take control of the AI’s weights.  Weights within AI’s deep neural networks represent the models’ learning and how it is used.  A weight is usually defined in a 32-bit word, and there can be hundreds of billions of bits involved in this AI's reasoning process.  It is a no-brainer that if an attacker controls the weights, they control the AI.[1]

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