Name
Abstract | ||
|---|---|---|
We consider a communication problem in which a transmitter encodes a source into several streams that are subject to modification by an omniscient adversary while en route. We design encodings with a distortion guarantee that degrades gradually as the number of streams that the adversary alters increases. Notably, we find that a mixture of highly redundant coding and uncoded transmission outperforms schemes that protect all of the transmitted data against adversarial attack. This finding is confirmed both theoretically and experimentally. |
Year | Venue | Field |
|---|---|---|
2017 | IEEE Military Communications Conference | Transmitter,Computer science,Measurement uncertainty,Computer network,Coding (social sciences),Adversary,Decoding methods,Distortion,Encoding (memory),Adversarial system |
DocType | ISSN | Citations |
Conference | 2155-7578 | 0 |
PageRank | References | Authors |
0.34 | 11 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoqing Fan | 1 | 7 | 3.17 |
| Joel Llewelyn | 2 | 0 | 0.34 |
| Aaron B. Wagner | 3 | 322 | 37.39 |
| Matthew P. Kuzdeba | 4 | 0 | 0.34 |