Distribution-Preserving Steganography Based on Text-to-Speech Generative Models
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Dependable and Secure Computing"
DOI: 10.1109/tdsc.2021.3095072
Abstract: Steganography is the art and science of hiding secret messages in public communication so that the presence of secret messages cannot be detected. There are two distribution-preserving steganographic frameworks, one is sampler-based and the other… read more here.
Keywords: text speech; preserving steganography; distribution preserving; generative models ... See more keywords
Degree Distribution Preserving Network Sampling: The Case of Relational Learning
Sign Up to like & getrecommendations! Published in 2025 at "INFORMS Journal on Computing"
DOI: 10.1287/ijoc.2024.1002
Abstract: Networks are relevant to many business applications, and the benefits of analyzing networks are recognized by researchers and practitioners alike. When networks become impractically large, analyzing samples drawn from them is the only way to… read more here.
Keywords: relational learning; distribution; degree distribution; network ... See more keywords