142 citations · 144 across the 14 of their papers we have counts for
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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★ 142 cited
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…