Physically-Guided Optical Inversion Enable Non-Contact Side-Channel Attack on Isolated Screens
Abstract
Noncontact exfiltration of electronic screen content poses a security challenge, with side-channel incursions as the principal vector. We introduce an optical projection side-channel paradigm that confronts two core instabilities: (i) the near-singular Jacobian spectrum of projection mapping breaches Hadamard stability, rendering inversion hypersensitive to perturbations; (ii) irreversible compression in light transport obliterates global semantic cues, magnifying reconstruction ambiguity. Exploiting passive speckle patterns formed by diffuse reflection, our Irradiance Robust Radiometric Inversion Network (IR$^4$Net) fuses a Physically Regularized Irradiance Approximation (PRIrr‑Approximation), which embeds the radiative transfer equation in a learnable optimizer, with a contour-to-detail cross-scale reconstruction mechanism that arrests noise propagation. Moreover, an Irreversibility Constrained Semantic Reprojection (ICSR) module reinstates lost global structure through context-driven semantic mapping. Evaluated across four scene categories, IR$^4$Net achieves fidelity beyond competing neural approaches while retaining resilience to illumination perturbations.
Cite
Text
Zheng et al. "Physically-Guided Optical Inversion Enable Non-Contact Side-Channel Attack on Isolated Screens." International Conference on Learning Representations, 2026.Markdown
[Zheng et al. "Physically-Guided Optical Inversion Enable Non-Contact Side-Channel Attack on Isolated Screens." International Conference on Learning Representations, 2026.](https://mlanthology.org/iclr/2026/zheng2026iclr-physicallyguided/)BibTeX
@inproceedings{zheng2026iclr-physicallyguided,
title = {{Physically-Guided Optical Inversion Enable Non-Contact Side-Channel Attack on Isolated Screens}},
author = {Zheng, Zhiwen and Qiao, Yuheng and Zhang, Xiaoshuai and Huang, Zhao and Zhang, Tao and Zhou, Huiyu and Jiang, Shaowei and Liu, Jin and Tang, Wenwen and Huang, Xingru},
booktitle = {International Conference on Learning Representations},
year = {2026},
url = {https://mlanthology.org/iclr/2026/zheng2026iclr-physicallyguided/}
}