activity
20222026
most citedMOVE: Effective and Harmless Ownership Verification via Embedded External Features

5 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2026

Defense against Poisoning Attacks under Shuffle-DP

Siyi Wang, Qiyao Luo, Yihua Hu +6

Differential Privacy (DP) has become the gold standard for protecting individual privacy in data analytics, and the shuffle-DP model has attracted significant attention from both a…

cs.CV2026

Unveiling Deepfakes: A Frequency-Aware Triple Branch Network for Deepfake Detection

Qihao Shen, Jiaxing Xuan, Zhenguang Liu +5

Advanced deepfake technologies are blurring the lines between real and fake, presenting both revolutionary opportunities and alarming threats. While it unlocks novel applications i…

cs.SE2025

I Know Who Clones Your Code: Interpretable Smart Contract Similarity Detection

Zhenguang Liu, Lixun Ma, Zhongzheng Mu +4

Widespread reuse of open-source code in smart contract development boosts programming efficiency but significantly amplifies bug propagation across contracts, while dedicated metho…

cs.CV2024

Do As I Do: Pose Guided Human Motion Copy

Sifan Wu, Zhenguang Liu, Beibei Zhang +4

Human motion copy is an intriguing yet challenging task in artificial intelligence and computer vision, which strives to generate a fake video of a target person performing the mot…

cs.CR2022★ 5 cited

MOVE: Effective and Harmless Ownership Verification via Embedded External Features

Yiming Li, Linghui Zhu, Xiaojun Jia +5

Currently, deep neural networks (DNNs) are widely adopted in different applications. Despite its commercial values, training a well-performing DNN is resource-consuming. Accordingl…