SAAIPAA: Optimizing aspect-angles-invariant physical adversarial attacks on SAR target recognition models

While the project has low community traction (0 stars), it addresses a highly specialized niche in remote sensing and defense. Aspect-angle invariance is a critical challenge in SAR adversarial ML because radar signatures are highly sensitive to geometry. Frontier labs are unlikely to compete here as it falls into specialized aerospace/defense domain expertise.