Generalization Bounds for Neural Belief Propagation Decoders

no code implementations • 17 May 2023 • Sudarshan Adiga, Xin Xiao, Ravi Tandon, Bane Vasic, Tamal Bose

We present new theoretical results which bound this gap and show the dependence on the decoder complexity, in terms of code parameters (blocklength, message length, variable/check node degrees), decoding iterations, and the training dataset size.

Decoder Generalization Bounds

Adversarial Filters for Secure Modulation Classification

no code implementations • 15 Aug 2020 • Alex Berian, Kory Staab, Noel Teku, Gregory Ditzler, Tamal Bose, Ravi Tandon

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).

Classification General Classification