64 citations · 233 across the 32 of their papers we have counts for
6 papers · 1 filter
Pocket Diagnosis: Secure Federated Learning against Poisoning Attack in the Cloud
Zhuoran Ma, Jianfeng Ma, Yinbin Miao +3
Federated learning has become prevalent in medical diagnosis due to its effectiveness in training a federated model among multiple health institutions (i.e. Data Islands (DIs)). Ho…
Privacy-preserving Medical Treatment System through Nondeterministic Finite Automata
Yang Yang, Robert H. Deng, Ximeng Liu +4
In this paper, we propose a privacy-preserving medical treatment system using nondeterministic finite automata (NFA), hereafter referred to as P-Med, designed for the remote medica…
VerifyTL: Secure and Verifiable Collaborative Transfer Learning
Zhuoran Ma, Jianfeng Ma, Yinbin Miao +4
Getting access to labelled datasets in certain sensitive application domains can be challenging. Hence, one often resorts to transfer learning to transfer knowledge learned from a…
Cloud-based Federated Boosting for Mobile Crowdsensing
Zhuzhu Wang, Yilong Yang, Yang Liu +3
The application of federated extreme gradient boosting to mobile crowdsensing apps brings several benefits, in particular high performance on efficiency and classification. However…
Learn to Forget: Machine Unlearning via Neuron Masking
Yang Liu, Zhuo Ma, Ximeng Liu +5
Nowadays, machine learning models, especially neural networks, become prevalent in many real-world applications.These models are trained based on a one-way trip from user data: as…
Droidetec: Android Malware Detection and Malicious Code Localization through Deep Learning
Zhuo Ma, Haoran Ge, Zhuzhu Wang +2
Android malware detection is a critical step towards building a security credible system. Especially, manual search for the potential malicious code has plagued program analysts fo…