Privacy Preserving Face

Privacy-preserving face recognition aims to balance the need for accurate facial identification with the protection of individual privacy. Current research focuses on developing techniques that either transform facial images to obscure visually identifiable features while retaining recognition accuracy (e.g., using frequency domain manipulation, feature subtraction, or masked autoencoders), or leverage inherently privacy-enhancing hardware like lensless cameras. These advancements are crucial for mitigating privacy risks associated with widespread face recognition deployment, impacting both the security of biometric systems and the ethical considerations surrounding facial data usage.