𝗜𝗻𝘃𝗶𝘀𝗶𝗯𝗹𝗲 𝗠𝗮𝘀𝗸: 𝗔𝘁𝘁𝗮𝗰𝗸𝗶𝗻𝗴 𝗙𝗮𝗰𝗲 𝗥𝗲𝗰𝗼𝗴𝗻𝗶𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝗜𝗻𝗳𝗿𝗮𝗿𝗲𝗱
Face recognition systems protect many areas. New research shows how to trick these systems. Attackers use infrared light to hide their identity.
Current systems rely on visual data. Infrared light changes how sensors see a face. A simple mask with infrared components disrupts the process.
How the attack works:
- Infrared light overwhelms the camera sensor.
- The system sees light instead of facial features.
- The person remains hidden from the software.
Security needs to change. Relying on standard cameras creates risks. Developers must add multi-spectral checks to prevent these attacks.
Read the full research here: https://dev.to/paperium/invisible-mask-practical-attacks-on-face-recognition-with-infrared-2e55
Optional learning community: https://t.me/GyaanSetuAi