Privacy-Enhancing Optical Embeddings for Lensless Classification

Understand

Lensless imaging can provide visual privacy due to the highly multiplexed characteristic of its measurements.

• However, this alone is a weak form of security, as various adversarial attacks can be designed to invert the one-to-many scene mapping of such cameras.
• In this work, we enhance the privacy provided by lensless imaging by (1) downsampling at the sensor and (2) using a programmable mask with variable patterns as our optical encoder.
• We build a prototype from a low-cost LCD and Raspberry Pi components, for a total cost of around 100 USD.