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TIGA can generate high-quality, detector-evasive images on-the-fly, bypassing the need for source images or model retraining, which could revolutionize evasion strategies against AIGC detectors.
Achieving optimal quantum key distribution without a shared reference frame could revolutionize secure satellite communications.
Gradient misalignment across devices in parallel split learning can be tamed with a novel gradient alignment strategy, leading to faster convergence and higher accuracy in heterogeneous federated learning.