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GRAFT reveals that optimized workflows can evolve in real-time, adapting to execution feedback without the computational burden of complete re-optimization.
Achieving 97% fewer FLOPs while matching or surpassing the detection accuracy of heavier models could revolutionize steganalysis in resource-limited settings.