Researchers tested 31 million patterns to disrupt surveillance AI, with promising results but significant gaps between simulation and real-world use. The Kansas City-based cybersecurity researcher Bill Swearingen spent the past year doing something that sounds almost too simple to work: printing patterns, watching cameras fail to detect them, and repeating. TechCrunch reports that after roughly […]
First seen on securityaffairs.com
Jump to article: securityaffairs.com/197465/ai/project-norecognition-teaching-ai-to-fool-surveillance-cameras.html
