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Technische Universität Dortmund, Linköping University
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Game-theoretic reinforcement learning can effectively neutralize attackers manipulating beamforming in 6G integrated sensing and communication systems.
Exploiting spatial redundancy among vehicles can drastically enhance the efficiency of uplink transmissions in 6G, leading to higher fidelity data reconstruction with less bandwidth.
6G's integrated sensing capabilities could expose your heart rate and breathing frequency, demanding a proactive approach to privacy.
DNN-based distinguishers can empirically validate the indistinguishability of complex cryptographic constructions, but don't yet reveal exploitable weaknesses in standard PQC hybrids.
Achieve up to two orders of magnitude reduction in semantic communication rate by strategically incorporating common randomness in a privacy-preserving distributed computation framework.
