1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CR2023
RAEDiff: Denoising Diffusion Probabilistic Models Based Reversible Adversarial Examples Self-Generation and Self-Recovery
Fan Xing, Xiaoyi Zhou, Xuefeng Fan +2
Collected and annotated datasets, which are obtained through extensive efforts, are effective for training Deep Neural Network (DNN) models. However, these datasets are susceptible…
cs.CR2022★ 1 cited
DeepHider: A Covert NLP Watermarking Framework Based on Multi-task Learning
Long Dai, Jiarong Mao, Xuefeng Fan +1
Natural language processing (NLP) technology has shown great commercial value in applications such as sentiment analysis. But NLP models are vulnerable to the threat of pirated red…
cs.CR2022
PCPT and ACPT: Copyright Protection and Traceability Scheme for DNN Models
Xuefeng Fan, Dahao Fu, Hangyu Gui +2
Deep neural networks (DNNs) have achieved tremendous success in artificial intelligence (AI) fields. However, DNN models can be easily illegally copied, redistributed, or abused by…