3 papers
cs.CR2024
Semantic Deep Hiding for Robust Unlearnable Examples
Ruohan Meng, Chenyu Yi, Yi Yu +3
Ensuring data privacy and protection has become paramount in the era of deep learning. Unlearnable examples are proposed to mislead the deep learning models and prevent data from u…
cs.CR2024
Steganographic Passport: An Owner and User Verifiable Credential for Deep Model IP Protection Without Retraining
Qi Cui, Ruohan Meng, Chaohui Xu +1
Ensuring the legal usage of deep models is crucial to promoting trustable, accountable, and responsible artificial intelligence innovation. Current passport-based methods that obfu…
cs.CV2022
Continual Learning for Steganalysis
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 pa…