59 citations · 136 across the 21 of their papers we have counts for
4 papers · 1 filter
PixelSteganalysis: Destroying Hidden Information with a Low Degree of Visual Degradation
Dahuin Jung, Ho Bae, Hyun-Soo Choi +1
Steganography is the science of unnoticeably concealing a secret message within a certain image, called a cover image. The cover image with the secret message is called a stego ima…
PixelSteganalysis: Pixel-wise Hidden Information Removal with Low Visual Degradation
Dahuin Jung, Ho Bae, Hyun-Soo Choi +1
Recently, the field of steganography has experienced rapid developments based on deep learning (DL). DL based steganography distributes secret information over all the available bi…
HexaGAN: Generative Adversarial Nets for Real World Classification
Uiwon Hwang, Dahuin Jung, Sungroh Yoon
Most deep learning classification studies assume clean data. However, when dealing with the real world data, we encounter three problems such as 1) missing data, 2) class imbalance…
AnomiGAN: Generative adversarial networks for anonymizing private medical data
Ho Bae, Dahuin Jung, Sungroh Yoon
Typical personal medical data contains sensitive information about individuals. Storing or sharing the personal medical data is thus often risky. For example, a short DNA sequence…