229 citations · 876 across the 52 of their papers we have counts for
55 papers
Soft-output (SO) GRAND and Iterative Decoding to Outperform LDPCs
Peihong Yuan, Muriel Medard, Kevin Galligan +1
We establish that a large, flexible class of long, high redundancy error correcting codes can be efficiently and accurately decoded with guessing random additive noise decoding (GR…
Upgrade error detection to prediction with GRAND
Kevin Galligan, Peihong Yuan, Muriel Médard +1
Guessing Random Additive Noise Decoding (GRAND) is a family of hard- and soft-detection error correction decoding algorithms that provide accurate decoding of any moderate redundan…
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…
Using channel correlation to improve decoding -- ORBGRAND-AI
Ken R. Duffy, Moritz Grundei, Muriel Medard
To meet the Ultra Reliable Low Latency Communication (URLLC) needs of modern applications, there have been significant advances in the development of short error correction codes a…
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…
Physical layer insecurity
Muriel Médard, Ken R. Duffy
In the classic wiretap model, Alice wishes to reliably communicate to Bob without being overheard by Eve who is eavesdropping over a degraded channel. Systems for achieving that ph…