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I. Mohammadi

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#machine learning Book Open access Sep 2026

Feasible but Not Safe: Constraint Violations and Report-Channel Attacks in Learned Cell-Free ISAC Association

The results show that learned ISAC schedulers should be evaluated using constraint-aware feasibility metrics in addition to conventional accuracy measures, and show that feasibility alone does not guarantee robustness to false data injection attacks.

Mehdi Zafari, I. Mohammadi, A. Swindlehurst · 0 citations

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