no code implementations • 3 Apr 2024 • Qi Cui, Ruohan Meng, Chaohui Xu, Chip-Hong Chang
To safeguard both the passport and model's weights against advanced ambiguity attacks, an activation-level obfuscation is proposed for the verification branch of the owner's model.
no code implementations • 20 Nov 2022 • Ruohan Meng, Zhili Zhou, Qi Cui, Kwok-Yan Lam, Alex Kot
Extensive experiments, on diverse datasets and unseen manipulations, demonstrate that the proposed tagging approach achieves excellent performance in the aspects of both authenticity verification and source tracing for reliable fake news detection and outperforms the prior works.
no code implementations • 3 Sep 2022 • Zihao Yin, Ruohan Meng, Zhili Zhou
To detect the existing steganographic algorithms, recent steganalysis methods usually train a Convolutional Neural Network (CNN) model on the dataset consisting of corresponding paired cover/stego-images.