11 citations · 18 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 6 cited
DeepObliviate: A Powerful Charm for Erasing Data Residual Memory in Deep Neural Networks
Yingzhe He, Guozhu Meng, Kai Chen +2
Machine unlearning has great significance in guaranteeing model security and protecting user privacy. Additionally, many legal provisions clearly stipulate that users have the righ…
cs.CR2021★ 1 cited
SGBA: A Stealthy Scapegoat Backdoor Attack against Deep Neural Networks
Ying He, Zhili Shen, Chang Xia +3
Outsourced deep neural networks have been demonstrated to suffer from patch-based trojan attacks, in which an adversary poisons the training sets to inject a backdoor in the obtain…
cs.CR2019★ 11 cited
Towards Security Threats of Deep Learning Systems: A Survey
Yingzhe He, Guozhu Meng, Kai Chen +2
Deep learning has gained tremendous success and great popularity in the past few years. However, deep learning systems are suffering several inherent weaknesses, which can threaten…