Search Results for author: Ruohan Meng

Found 4 papers, 0 papers with code

Semantic Deep Hiding for Robust Unlearnable Examples

no code implementations25 Jun 2024 Ruohan Meng, Chenyu Yi, Yi Yu, Siyuan Yang, Bingquan Shen, Alex C. Kot

To further boost the robustness of unlearnable examples, we design a Semantic Images Generation module that produces hidden semantic images.

Steganographic Passport: An Owner and User Verifiable Credential for Deep Model IP Protection Without Retraining

no code implementations CVPR 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.

Traceable and Authenticable Image Tagging for Fake News Detection

no code implementations20 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.

Fake News Detection TAG

Continual Learning for Steganalysis

no code implementations3 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.

Continual Learning Steganalysis

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