activity
20202025
most citedIntellectual Property Protection for Deep Learning Models: Taxonomy, Methods, Attacks, and Evaluations

76 citations · 292 across the 19 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

cs.CR2021★ 7 cited

Protect the Intellectual Property of Dataset against Unauthorized Use

Mingfu Xue, Yinghao Wu, Yushu Zhang +2

Training high performance Deep Neural Networks (DNNs) models require large-scale and high-quality datasets. The expensive cost of collecting and annotating large-scale datasets mak…

cs.CV2021★ 13 cited

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…

cs.MM2021★ 10 cited

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…

cs.CR2021★ 41 cited

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…

cs.AI2021★ 30 cited

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…

cs.CR2021★ 34 cited

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…

cs.CR2021★ 9 cited

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…