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PRoADS: Provably Secure and Robust Audio Diffusion Steganography with latent optimization and backward Euler Inversion

YongPeng Yan, Yanan Li, Qiyang Xiao, Yanzhen Ren

TL;DR

This paper proposes PRoADS, a provably secure and robust audio steganographic framework based on audio diffusion models that embeds secret messages into the initial noise of diffusion models via orthogonal matrix projection and introduces Latent Optimization and Backward Euler Inversion to address the reconstruction errors in diffusion inversion.

Abstract

This paper proposes PRoADS, a provably secure and robust audio steganographic framework based on audio diffusion models. As a generative steganography scheme, PRoADS embeds secret messages into the initial noise of diffusion models via orthogonal matrix projection. To address the reconstruction errors in diffusion inversion that cause high bit error rates (BER), we introduce Latent Optimization and Backward Euler Inversion to minimize the latent reconstruction and diffusion inversion errors. Comprehensive experiments demonstrate that our scheme sustains a remarkably low BER of 0.15\% under 64 kbps MP3 compression, significantly outperforming existing methods and exhibiting strong robustness.

PRoADS: Provably Secure and Robust Audio Diffusion Steganography with latent optimization and backward Euler Inversion

TL;DR

This paper proposes PRoADS, a provably secure and robust audio steganographic framework based on audio diffusion models that embeds secret messages into the initial noise of diffusion models via orthogonal matrix projection and introduces Latent Optimization and Backward Euler Inversion to address the reconstruction errors in diffusion inversion.

Abstract

This paper proposes PRoADS, a provably secure and robust audio steganographic framework based on audio diffusion models. As a generative steganography scheme, PRoADS embeds secret messages into the initial noise of diffusion models via orthogonal matrix projection. To address the reconstruction errors in diffusion inversion that cause high bit error rates (BER), we introduce Latent Optimization and Backward Euler Inversion to minimize the latent reconstruction and diffusion inversion errors. Comprehensive experiments demonstrate that our scheme sustains a remarkably low BER of 0.15\% under 64 kbps MP3 compression, significantly outperforming existing methods and exhibiting strong robustness.
Paper Structure (16 sections, 6 equations, 1 figure, 2 tables, 3 algorithms)

This paper contains 16 sections, 6 equations, 1 figure, 2 tables, 3 algorithms.

Table of Contents

  1. Introduction
  2. Preliminaries
  3. Proposed Method
  4. Message Embedding
  5. Latent Optimization
  6. Backward Euler Inversion
  7. First-Order Solver
  8. Second-Order Solver
  9. Safety
  10. Experiment
  11. Setup
  12. Result
  13. Robustness
  14. Ablation
  15. Computation Cost
  16. ...and 1 more sections

Figures (1)

  • Figure 1: The overall framework of the PRoADS.