41 citations · 75 across the 5 of their papers we have counts for
5 papers
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…
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…
3D Invisible Cloak
Mingfu Xue, Can He, Zhiyu Wu +3
In this paper, we propose a novel physical stealth attack against the person detectors in real world. The proposed method generates an adversarial patch, and prints it on real clot…
Use the Spear as a Shield: A Novel Adversarial Example based Privacy-Preserving Technique against Membership Inference Attacks
Mingfu Xue, Chengxiang Yuan, Can He +4
Recently, the membership inference attack poses a serious threat to the privacy of confidential training data of machine learning models. This paper proposes a novel adversarial ex…
SocialGuard: An Adversarial Example Based Privacy-Preserving Technique for Social Images
Mingfu Xue, Shichang Sun, Zhiyu Wu +3
The popularity of various social platforms has prompted more people to share their routine photos online. However, undesirable privacy leakages occur due to such online photo shari…