Cybersecurity

Project noRecognition: Teaching AI to Fool Surveillance Cameras

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Cybersecurity researcher Bill Swearingen has developed patterns that can disrupt surveillance AI detection systems through 31 million tests. These patterns prevent license plate readers and facial recognition software from identifying covered objects or individuals but are still in the experimental phase, with real-world effectiveness yet to be fully validated. Developers should monitor advancements in this area as it could impact privacy and security measures.

Read the full article at Security Affairs

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