Attributed metadata history
Up to 100 retained publisher events per page for 56e8505486b7e0f5b3966e553ef6cff87d03cfa0fe4297248fe8cd059e006648. Withdrawals and unavailable references remain attributed to their publishers.
intelligence_src_f28777e1849bec7cf0
observed · 2026-10-12 16:59:03 UTC
AI-powered cameras dot streets across the world, equipped with the power to identify faces or vehicle license plates. But a public backlash is gaining momentum.Privacy concerns abound, encompassing the lack of consent for capturing data, how that data is stored and used, and the risk of misuse. Those concerns are motivating people to fight back. The DeFlock project, for instance, maps automated license plate readers (ALPRs) to raise awareness. Some people resort to extreme measures, such as vandalizing or damaging ALPRs. Others are stitching together more creative responses, crafting “adversarial fashion” to evade surveillance cameras, like a Kickstarter project called noRecognition, presented at last month’s DEF CON hacker convention.Scrambling surveillanceIn 2025, cybersecurity expert Bill Swearingen began experimenting with a simple Python-based fuzzer, a tool that provides invalid inputs to reveal software bugs, security vulnerabilities, or unexpected behavior. The fuzzer targeted one of the most popular object detection frameworks, called YOLO. He then developed what he’d learned into a reinforcement learning algorithm that generates various adversarial patterns, which
Fingerprint: 242e22b149889c62a89ca948bc997c2ba18b75dbe821abddb41fd73ce7fc13b1
intelligence_src_f28777e1849bec7cf0
observed · 2026-10-12 16:59:03 UTC
available
Fingerprint: 6ab66bf670ba3f01aa469a19a61354be9b2f1c174649ee36eccd41ac913c914b