Newest papers

Bridging Digital Deception and Physical Fidelity: A Spatio-Temporal Attack on Cognitive Radars

Tongrun Xing, Yongjun Dai, Xuan Liao, Zhiwen Zhang, Tong Zhou, Longlong Zhang, Tian Jiang · 2026 · arXiv

DOI: 10.48550/arXiv.2610.27585 · open-access PDF

Japanese

認知レーダーが一次元の複雑なベースバンドシーケンスの端から端までの処理に向かって進化するにつれて、深いネットワークは深刻な敵対的脅威に直面するが、既存の攻撃は実用的な電子戦闘において二重の制限に直面する:低いクロスアーキテクチャ転送性と物理的なチャンネル歪曲に対する深刻な脆弱性で、戦術的な信頼性を低下させる。

Machine translation (Meta M2M100); the English original follows.

Abstract

As cognitive radars evolve towards the end-to-end processing of one-dimensional complex baseband sequences, deep networks face severe adversarial threats. However, existing attacks encounter dual limitations in practical electronic warfare: low cross-architecture transferability and severe vulnerability to physical channel distortions, which degrades their tactical reliability. To overcome these bottlenecks, we propose a physical prior-driven Segmented Spatio-Temporal Attack (SSTA). First, a global-local feature decoupling segmentation mechanism interrupts the adversarial gradients' dependence

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