1 citations · 1 across the 3 of their papers we have counts for
4 papers
Cover Reproducible Steganography via Deep Generative Models
Kejiang Chen, Hang Zhou, Yaofei Wang +3
Whereas cryptography easily arouses attacks by means of encrypting a secret message into a suspicious form, steganography is advantageous for its resilience to attacks by concealin…
PointCAT: Contrastive Adversarial Training for Robust Point Cloud Recognition
Qidong Huang, Xiaoyi Dong, Dongdong Chen +5
Notwithstanding the prominent performance achieved in various applications, point cloud recognition models have often suffered from natural corruptions and adversarial perturbation…
Deep 3D Mesh Watermarking with Self-Adaptive Robustness
Feng Wang, Hang Zhou, Han Fang +4
Robust 3D mesh watermarking is a traditional research topic in computer graphics, which provides an efficient solution to the copyright protection for 3D meshes. Traditionally, res…
Distribution-Preserving Steganography Based on Text-to-Speech Generative Models
Kejiang Chen, Hang Zhou, Hanqing Zhao +3
Steganography is the art and science of hiding secret messages in public communication so that the presence of the secret messages cannot be detected. There are two distribution-pr…