Physically-Guided Optical Inversion Enable Non-Contact Side-Channel Attack on Isolated Screens
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arXiv
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| Format: | Preprint |
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2026
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| _version_ | 1866910130219515904 |
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| author | Zheng, Zhiwen Qiao, Yuheng Zhang, Xiaoshuai Huang, Zhao Zhang, Tao Zhou, Huiyu Jiang, Shaowei Liu, Jin Tang, Wenwen Huang, Xingru |
| author_facet | Zheng, Zhiwen Qiao, Yuheng Zhang, Xiaoshuai Huang, Zhao Zhang, Tao Zhou, Huiyu Jiang, Shaowei Liu, Jin Tang, Wenwen Huang, Xingru |
| contents | 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 (IR4Net) 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, IR4Net achieves fidelity beyond competing neural approaches while retaining resilience to illumination perturbations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_13419 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Physically-Guided Optical Inversion Enable Non-Contact Side-Channel Attack on Isolated Screens Zheng, Zhiwen Qiao, Yuheng Zhang, Xiaoshuai Huang, Zhao Zhang, Tao Zhou, Huiyu Jiang, Shaowei Liu, Jin Tang, Wenwen Huang, Xingru Computer Vision and Pattern Recognition 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 (IR4Net) 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, IR4Net achieves fidelity beyond competing neural approaches while retaining resilience to illumination perturbations. |
| title | Physically-Guided Optical Inversion Enable Non-Contact Side-Channel Attack on Isolated Screens |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2604.13419 |