activity
20162024
most citedMetaverse: Security and Privacy Concerns

114 citations · 130 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2024

Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay

Yuhang Zhou, Zhongyun Hua

Deep neural networks have demonstrated susceptibility to adversarial attacks. Adversarial defense techniques often focus on one-shot setting to maintain robustness against attack.…

cs.CV2023★ 10 cited

Seeing is not Believing: An Identity Hider for Human Vision Privacy Protection

Tao Wang, Yushu Zhang, Zixuan Yang +3

Massive captured face images are stored in the database for the identification of individuals. However, these images can be observed unintentionally by data managers, which is not…

cs.CR2023

Privet: A Privacy-Preserving Vertical Federated Learning Service for Gradient Boosted Decision Tables

Yifeng Zheng, Shuangqing Xu, Songlei Wang +2

Vertical federated learning (VFL) has recently emerged as an appealing distributed paradigm empowering multi-party collaboration for training high-quality models over vertically pa…

cs.CY2022★ 114 cited

Metaverse: Security and Privacy Concerns

Ruoyu Zhao, Yushu Zhang, Youwen Zhu +2

The term "metaverse", a three-dimensional virtual universe similar to the real realm, has always been full of imagination since it was put forward in the 1990s. Recently, it is pos…

cs.CR2021★ 1 cited

Secure Reversible Data Hiding in Encrypted Images Using Cipher-Feedback Secret Sharing

Zhongyun Hua, Yanxiang Wang, Shuang Yi +2

Reversible data hiding in encrypted images (RDH-EI) has attracted increasing attention, since it can protect the privacy of original images while the embedded data can be exactly e…

nlin.CD2016★ 5 cited

Nonlinear Chaotic Processing Model

Zhongyun Hua, Yicong Zhou

Designing chaotic maps with complex dynamics is a challenging topic. This paper introduces the nonlinear chaotic processing (NCP) model, which contains six basic nonlinear operatio…