Abstract: This paper proposes a quantization-aware deep learning (DL)-based channel estimation algorithm for orthogonal frequency-division multiplexing (OFDM) systems under varying effective number of ...
Abstract: This work studies black-box adversarial attacks against deep neural networks, where the attacker only has access to the query feedback from the target model. The current state-of-the-art ...
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