12 citations · 30 across the 7 of their papers we have counts for
7 papers
SMI: Statistical Membership Inference for Reliable Unlearned Model Auditing
Jialong Sun, Zeming Wei, Jiaxuan Zou +6
Machine unlearning (MU) is essential for enforcing the right to be forgotten in machine learning systems. A key challenge of MU is how to reliably audit whether a model has truly f…
AI-based Identity Fraud Detection: A Systematic Review
Chuo Jun Zhang, Asif Q. Gill, Bo Liu +1
With the rapid development of digital services, a large volume of personally identifiable information (PII) is stored online and is subject to cyberattacks such as Identity fraud.…
Unravelling Token Ecosystem of EOSIO Blockchain
Weilin Zheng, Bo Liu, Hong-Ning Dai +3
Being the largest Initial Coin Offering project, EOSIO has attracted great interest in cryptocurrency markets. Despite its popularity and prosperity (e.g., 26,311,585,008 token tra…
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning
Chuan Ma, Jun Li, Kang Wei +5
Motivated by the advancing computational capacity of distributed end-user equipments (UEs), as well as the increasing concerns about sharing private data, there has been considerab…
RDP-GAN: A Rényi-Differential Privacy based Generative Adversarial Network
Chuan Ma, Jun Li, Ming Ding +4
Generative adversarial network (GAN) has attracted increasing attention recently owing to its impressive ability to generate realistic samples with high privacy protection. Without…
Privacy Preserving Location Data Publishing: A Machine Learning Approach
Sina Shaham, Ming Ding, Bo Liu +3
Publishing datasets plays an essential role in open data research and promoting transparency of government agencies. However, such data publication might reveal users' private info…
Privacy Preservation in Location-Based Services: A Novel Metric and Attack Model
Sina Shaham, Ming Ding, Bo Liu +2
Recent years have seen rising needs for location-based services in our everyday life. Aside from the many advantages provided by these services, they have caused serious concerns r…