47 citations · 61 across the 6 of their papers we have counts for
7 papers
Backdoor Defense with Machine Unlearning
Yang Liu, Mingyuan Fan, Cen Chen +4
Backdoor injection attack is an emerging threat to the security of neural networks, however, there still exist limited effective defense methods against the attack. In this paper,…
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…
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…
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…
Revocable Federated Learning: A Benchmark of Federated Forest
Yang Liu, Zhuo Ma, Ximeng Liu +3
A learning federation is composed of multiple participants who use the federated learning technique to collaboratively train a machine learning model without directly revealing the…
Boosting Privately: Privacy-Preserving Federated Extreme Boosting for Mobile Crowdsensing
Yang Liu, Zhuo Ma, Ximeng Liu +3
Recently, Google and other 24 institutions proposed a series of open challenges towards federated learning (FL), which include application expansion and homomorphic encryption (HE)…