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Latency-Distortion Tradeoffs in Communicating Classification Results over Noisy Channels
Our results show that there is an interesting interplay between source distortion (i. e., distortion for the probability vector measured via f-divergence) and the subsequent channel encoding/decoding parameters; and indicate that a joint design of these parameters is crucial to navigate the latency-distortion tradeoff.
Adversarial Filters for Secure Modulation Classification
This paper considers the problem of secure modulation classification, where a transmitter (Alice) wants to maximize MC accuracy at a legitimate receiver (Bob) while minimizing MC accuracy at an eavesdropper (Eve).
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