4 papers
Near-Optimal Generalized Decoding of Polar-like Codes
Peihong Yuan, Ken R. Duffy, Muriel Médard
We present a framework that can exploit the tradeoff between the undetected error rate (UER) and block error rate (BLER) of polar-like codes. It is compatible with all successive c…
PEOPL: Characterizing Privately Encoded Open Datasets with Public Labels
Homa Esfahanizadeh, Adam Yala, Rafael G. L. D'Oliveira +8
Allowing organizations to share their data for training of machine learning (ML) models without unintended information leakage is an open problem in practice. A promising technique…
GRAND-EDGE: A Universal, Jamming-resilient Algorithm with Error-and-Erasure Decoding
Furkan Ercan, Kevin Galligan, David Starobinski +3
Random jammers that overpower transmitted signals are a practical concern for many wireless communication protocols. As such, wireless receivers must be able to cope with standard…
Block turbo decoding with ORBGRAND
Kevin Galligan, Muriel Médard, Ken R. Duffy
Guessing Random Additive Noise Decoding (GRAND) is a family of universal decoding algorithms suitable for decoding any moderate redundancy code of any length. We establish that, th…