Towards Physically Realizable Adversarial Attenuation Patch against SAR Object Detection
Deep neural networks have demonstrated excellent performance in SAR target detection tasks but remain susceptible to adversarial attacks. Existing SAR-specific attack methods can effectively deceive detectors; however, they often introduce noticeable perturbations and are largely confined to digital domain, neglecting physical implementation constrains for attacking SAR systems. In this paper, a novel Adversarial Attenuation Patch (AAP) method is proposed that employs energy-constrained optimization strategy coupled with an attenuation-based deployment framework to achieve a seamless balance between attack effectiveness and stealthiness. More importantly, AAP exhibits strong potential for...
| Authors | Yiming Zhang, Weibo Qin, Feng Wang |
|---|---|
| Primary category | cs.CV |
| Published | 1 April 2026 |
| Last updated at source | 12 June 2026 |
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