14 citations · 15 across the 4 of their papers we have counts for
4 papers
SOCI^+: An Enhanced Toolkit for Secure OutsourcedComputation on Integers
Bowen Zhao, Weiquan Deng, Xiaoguo Li +3
Secure outsourced computation is critical for cloud computing to safeguard data confidentiality and ensure data usability. Recently, secure outsourced computation schemes following…
Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning
Mingyuan Fan, Cen Chen, Chengyu Wang +2
Recent works have brought attention to the vulnerability of Federated Learning (FL) systems to gradient leakage attacks. Such attacks exploit clients' uploaded gradients to reconst…
Enhance transferability of adversarial examples with model architecture
Mingyuan Fan, Wenzhong Guo, Shengxing Yu +2
Transferability of adversarial examples is of critical importance to launch black-box adversarial attacks, where attackers are only allowed to access the output of the target model…
When Crowdsensing Meets Federated Learning: Privacy-Preserving Mobile Crowdsensing System
Bowen Zhao, Ximeng Liu, Wei-neng Chen
Mobile crowdsensing (MCS) is an emerging sensing data collection pattern with scalability, low deployment cost, and distributed characteristics. Traditional MCS systems suffer from…