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Game-theoretic reinforcement learning can effectively neutralize attackers manipulating beamforming in 6G integrated sensing and communication systems.
Common randomness dramatically slashes communication rates in secure perceptual data compression, a stark contrast to its limited impact in standard compression scenarios.
DNN-based distinguishers can empirically validate the indistinguishability of complex cryptographic constructions, but don't yet reveal exploitable weaknesses in standard PQC hybrids.
