76 citations · 237 across the 10 of their papers we have counts for
10 papers
Adversarial Example Based Fingerprinting for Robust Copyright Protection in Split Learning
Zhangting Lin, Mingfu Xue, Kewei Chen +5
Currently, deep learning models are easily exposed to data leakage risks. As a distributed model, Split Learning thus emerged as a solution to address this issue. The model is spli…
Imperceptible and Multi-channel Backdoor Attack against Deep Neural Networks
Mingfu Xue, Shifeng Ni, Yinghao Wu +3
Recent researches demonstrate that Deep Neural Networks (DNN) models are vulnerable to backdoor attacks. The backdoored DNN model will behave maliciously when images containing bac…
Compression-Resistant Backdoor Attack against Deep Neural Networks
Mingfu Xue, Xin Wang, Shichang Sun +3
In recent years, many backdoor attacks based on training data poisoning have been proposed. However, in practice, those backdoor attacks are vulnerable to image compressions. When…
Detecting Backdoor in Deep Neural Networks via Intentional Adversarial Perturbations
Mingfu Xue, Yinghao Wu, Zhiyu Wu +3
Recent researches show that deep learning model is susceptible to backdoor attacks. Many defenses against backdoor attacks have been proposed. However, existing defense works requi…
Detect and remove watermark in deep neural networks via generative adversarial networks
Haoqi Wang, Mingfu Xue, Shichang Sun +3
Deep neural networks (DNN) have achieved remarkable performance in various fields. However, training a DNN model from scratch requires a lot of computing resources and training dat…
AdvParams: An Active DNN Intellectual Property Protection Technique via Adversarial Perturbation Based Parameter Encryption
Mingfu Xue, Zhiyu Wu, Jian Wang +2
A well-trained DNN model can be regarded as an intellectual property (IP) of the model owner. To date, many DNN IP protection methods have been proposed, but most of them are water…
Protecting the Intellectual Properties of Deep Neural Networks with an Additional Class and Steganographic Images
Shichang Sun, Mingfu Xue, Jian Wang +1
Recently, the research on protecting the intellectual properties (IP) of deep neural networks (DNN) has attracted serious concerns. A number of DNN copyright protection methods hav…
Robust Backdoor Attacks against Deep Neural Networks in Real Physical World
Mingfu Xue, Can He, Shichang Sun +2
Deep neural networks (DNN) have been widely deployed in various applications. However, many researches indicated that DNN is vulnerable to backdoor attacks. The attacker can create…
ActiveGuard: An Active DNN IP Protection Technique via Adversarial Examples
Mingfu Xue, Shichang Sun, Can He +3
The training of Deep Neural Networks (DNN) is costly, thus DNN can be considered as the intellectual properties (IP) of model owners. To date, most of the existing protection works…
Intellectual Property Protection for Deep Learning Models: Taxonomy, Methods, Attacks, and Evaluations
Mingfu Xue, Yushu Zhang, Jian Wang +1
The training and creation of deep learning model is usually costly, thus it can be regarded as an intellectual property (IP) of the model creator. However, malicious users who obta…