Se3DGSMark: Securing Frequency-Based Watermarking with Token Chunking for 3DGS
Abstract
Existing 3D Gaussian Splatting (3DGS) watermarking methods often overlook model security and lack robustness against geometric attacks. To address these limitations, we propose a novel end-to-end security framework for 3DGS that integrates key-controlled model access with a frequency-domain watermarking scheme, named Se3DGSMark. First, we enhance overall model security by adversarially optimizing and encrypting the spherical harmonic (SH) coefficients of the 3DGS model, rendering it unusable without a valid key. Second, to ensure robust data embedding, we apply a frequency-domain algorithm to embed watermarking information directly into the rendered image. Furthermore, we embed the watermark exclusively in blue channel, achieving superior imperceptibility with a PSNR exceeding 45 dB. Extensive experiments demonstrate that our method, not only provides a secure mechanism but also surpasses existing methods in both imperceptibility and resistance to geometric attacks.
Fields of Study & Subjects
Advanced Steganography and Watermarking Techniques
Biometric Identification and Security
Chaos-based Image/Signal Encryption
Publication details
- Journal / source
- ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
- Publisher
- IEEE
- Pages
- 13497–13501
- Publication date
- 21 April 2026