Physically-Guided Optical Inversion Enable Non-Contact Side-Channel Attack on Isolated Screens
Zhiwen Zheng, Yuheng Qiao, Zhao Huang, Tao Zhang, Xiaoshuai Zhang, Huiyu Zhou, Wenwen Tang, Shaowei Jiang
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.
BibTeX
@inproceedings{
zheng2026physicallyguided,
title={Physically-Guided Optical Inversion Enable Non-Contact Side-Channel Attack on Isolated Screens},
author={Zhiwen Zheng and Yuheng Qiao and Zhao Huang and Tao Zhang and Xiaoshuai Zhang and Huiyu Zhou and Wenwen Tang and Shaowei Jiang and Jin Liu and Xingru Huang},
booktitle={The Fourteenth International Conference on Learning Representations},
year={2026},
url={https://openreview.net/forum?id=evepIXBxL8}
}