LenslessMic: Audio Encryption and Authentication via Lensless Computational Imaging

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Authors: Petr Grinberg, Eric Bezzam, Paolo Prandoni, Martin Vetterli
Cited by: 0
References: 29

Abstract

With society’s increasing reliance on digital data sharing, the protection of sensitive information has become critical. Encryption serves as one of the privacy-preserving methods; however, its realization in the audio domain predominantly relies on signal processing or software methods embedded into hardware. In this paper, we introduce LenslessMic, a hybrid optical hardware-based encryption method that utilizes a lensless camera as a physical layer of security applicable to multiple types of audio. We show that LenslessMic enables (1) robust authentication of audio recordings and (2) encryption strength that can rival the search space of 256-bit digital standards, while maintaining high-quality signals and minimal loss of content information. The approach is validated with a low-cost Raspberry Pi prototype and is open-sourced together with datasets to facilitate research in the area.

Fields of Study & Subjects

Digital Media Forensic Detection Advanced Steganography and Watermarking Techniques Music and Audio Processing

Publication details

Journal / source
ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Publisher
IEEE
Pages
15752–15756
Publication date
21 April 2026
Language
EN