8 citations · 49 across the 20 of their papers we have counts for
20 papers
A Secure Authentication Framework to Guarantee the Traceability of Avatars in Metaverse
Kedi Yang, Zhenyong Zhang, Youliang Tian +1
Metaverse is a vast virtual environment parallel to the physical world in which users enjoy a variety of services acting as an avatar. To build a secure living habitat, it's vital…
Privacy-preserving Generative Framework Against Membership Inference Attacks
Ruikang Yang, Jianfeng Ma, Yinbin Miao +1
Artificial intelligence and machine learning have been integrated into all aspects of our lives and the privacy of personal data has attracted more and more attention. Since the ge…
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,…
CoAvoid: Secure, Privacy-Preserved Tracing of Contacts for Infectious Diseases
Teng Li, Siwei Yin, Runze Yu +4
To fight against infectious diseases (e.g., SARS, COVID-19, Ebola, etc.), government agencies, technology companies and health institutes have launched various contact tracing appr…
Information flow based defensive chain for data leakage detection and prevention: a survey
Ning Xi, Chao Chen, Jun Zhang +4
Mobile and IoT applications have greatly enriched our daily life by providing convenient and intelligent services. However, these smart applications have been a prime target of adv…
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…