2 papers
cs.CR2019
Learning Symmetric and Asymmetric Steganography via Adversarial Training
Zheng Li, Ge Han, Yunqing Wei +1
Steganography refers to the art of concealing secret messages within multiple media carriers so that an eavesdropper is unable to detect the presence and content of the hidden mess…
cs.CR2019
How to Prove Your Model Belongs to You: A Blind-Watermark based Framework to Protect Intellectual Property of DNN
Zheng Li, Chengyu Hu, Yang Zhang +1
Deep learning techniques have made tremendous progress in a variety of challenging tasks, such as image recognition and machine translation, during the past decade. Training deep n…