LenslessMic: Audio Encryption and Authentication via Lensless Computational Imaging

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.

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Publication Details

Published
2026-04-21
DOI
https://doi.org/10.1109/icassp55912.2026.11463973
Primary Topic
Digital Media Forensic Detection
Type
article
Field-Weighted Citation Impact
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article

LenslessMic: Audio Encryption and Authentication via Lensless Computational Imaging

Eric Bezzam, Petr Grinberg, Martin Vetterli, Paolo Prandoni
Digital Media Forensic Detection
article

LenslessMic: Audio Encryption and Authentication via Lensless Computational Imaging

Eric Bezzam, Petr Grinberg, Martin Vetterli, Paolo Prandoni
article en

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.

National Audiovisual Institute (PL), École Polytechnique Fédérale de Lausanne (CH)
Openalex Percentile: Top 100%
Digital Media Forensic Detection
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