3 citations · 11 across the 6 of their papers we have counts for
6 papers
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…
When Program Analysis Meets Bytecode Search: Targeted and Efficient Inter-procedural Analysis of Modern Android Apps in BackDroid
Daoyuan Wu, Debin Gao, Robert H. Deng +1
Widely-used Android static program analysis tools, e.g., Amandroid and FlowDroid, perform the whole-app inter-procedural analysis that is comprehensive but fundamentally difficult…
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…
Lightning-Fast and Privacy-Preserving Outsourced Computation in the Cloud
Ximeng Liu, Robert H. Deng, Pengfei Wu +1
In this paper, we propose a framework for lightning-fast privacy-preserving outsourced computation framework in the cloud, which we refer to as LightCom. Using LightCom, a user can…
SecComp: Towards Practically Defending Against Component Hijacking in Android Applications
Daoyuan Wu, Debin Gao, Yingjiu Li +1
Cross-app collaboration via inter-component communication is a fundamental mechanism on Android. Although it brings the benefits such as functionality reuse and data sharing, a thr…